Вакансии

Location: Москва Мы в **Sber AI** ищем **Middle/Senior ML Engineer**. **Коротко о нас:** мы – молодая команда, которая тесно работает с людьми, принимающими решения большого масштаба. Делаем проекты, влияющие на то, как устроены процессы в стране и разрабатываем стратегии развития ИИ. Параллельно занимаемся AI Journey – одной из самых больших AI-конференций в мире. Обязанности * развёртывание и оптимизация локального инференса LLM: подбор моделей, квантизация, настройка производительности * оценка требований к GPU под нагрузку * построение и улучшение поиска по документам (RAG): эмбеддинги, гибридный поиск, реранкинг * дообучение моделей под задачи заказчика (LoRA, SFT) * настройка промптов, структурированного вывода и вызова инструментов для агентных сценариев * разработка агентного харнесса: цикл агента, управление контекстом и памятью, лимиты шагов, обработка ошибок инструментов, восстановление после сбоев * разработка MCP-серверов для доступа агентов к системам и данным заказчика: реестры, документооборот, базы знаний, внутренние API * настройка tool calling и структурированного вывода у локальных моделей. Требования * опыт от 3 лет в ML/NLP, из них не менее года с LLM * PyTorch, Hugging Face (transformers, PEFT) * опыт локального инференса: vLLM, SGLang * квантизация на практике: AWQ, GPTQ, GGUF, понимание компромисса между качеством и скоростью * понимание устройства инференса: KV-cache, батчинг, latency и throughput, расчёт памяти * опыт написания собственного MCP-сервера * опыт построения RAG-систем * уверенный Python, Docker на рабочем уровне Будет плюсом: * опыт fine-tuning с LoRA * работа с open-weight моделями (Qwen и аналоги) на русском языке * опыт агентных систем и tool calling. Условия * комфортный современный офис рядом с м. Кутузовская * гибридный формат работы * ежегодный пересмотр зарплаты. Годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: Sydney , Australia What you will do as a Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices.  Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. Minimum Qualifications Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services,  Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. Strongly Preferred Qualifications (The "Good-to-Haves") Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Education Undergraduate or graduate degree in Computer Science, Engineering, or a related field. Travel This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Warsaw, PL We support tech companies in building engineering teams in Poland. For this role, we act as a recruitment partner supporting the hiring process on behalf of our customer. Our customer is a fast-growing, VC-backed HR-tech startup. Their product helps people automate their job search, from finding relevant roles to preparing applications. ‍ The team you’ll join works on one of the product’s features: an AI career coach that helps candidates assess their skills and prepare for interviews. You’ll work closely with product managers, designers and front-end engineers. We’re looking for a Senior Backend & AI Engineer (Python) to help build and develop the core architecture from scratch and ship the entire product. You’ll own technical decisions for the backend architecture, APIs and microservices, and build AI agents and stateful LLM conversational flows. ‍ As the company scales, you’ll also help establish engineering best practices, code quality standards and technical documentation. Design and implement scalable, secure, and efficient back-end services primarily in Python. Architect and develop advanced AI agents and stateful LLM conversational flows, managing short-term session context and long-term memory extraction. Build logic to evaluate user interactions and implement structured data pipelines to save, transcribe, and serve real-time session histories and system analytics. Own technical decisions for backend architecture, APIs, and microservices design. Explore and evaluate new tools, frameworks, and infrastructure to improve the product and infrastructure stack. Collaborate closely with product managers, designers, and front-end engineers to deliver impactful features. Proactively identify tech issues, lead the research, and resolve complex architectural bottlenecks. Help establish engineering best practices, code quality standards, and technical documentation as we scale. ‍ 5+ years of experience in back-end development with Python. Proven hands-on experience building AI agents, orchestrating complex LLM workflows, and deploying RAG pipelines. Experience with advanced AI orchestration and memory management frameworks (e.g., LangGraph, LangMem) Experience with Vector Search Engines (such as Qdrant) for high-performance data retrieval and artifact management. Experience with latency optimization for LLM streaming and database queries. Strong ownership: ability to do independent research, problem-solve, and unblock yourself autonomously. Strong knowledge of PostgreSQL and experience working with Object-Relational Mappers (ORMs). Experience in early-stage startups or building systems from scratch in a fast-paced environment. Proactive and highly autonomous, yet disciplined – you don’t wait to be told what to do, but you like and respect established team processes, are able to maintain organized workflows, and value a structured engineering environment. Result-oriented, hard-working with high ambitions. Strong English (B2 or higher). ‍ Experience with TypeScript, NestJS, or React, and a willingness to contribute across the stack if necessary. Knowledge of CI/CD pipelines and containerization with Docker. Experience with message brokers (e.g., NATS) for microservices communication. Experience in performance optimization and working with high-load or data-intensive systems. Expertise with subscription-based or B2B/B2C SaaS. ‍ The benefit package will be discussed individually during the interview process.

O objetivo desta contratação é agregar um perfil com forte capacidade técnica para conceber, desenvolver e manter soluções de relatórios, analítica e funcionalidades orientadas a inteligência artificial generativa, apoiando a tomada de decisão no âmbito do PMO e das áreas de negócio. • Domínio técnico prático de HTML, CSS, JavaScript e JSON.

Location: Arizona | Remote; Florida | Remote; Georgia | Remote; Idaho | Remote; Nebraska | Remote; North Carolina | Remote; Oklahoma | Remote; Oregon | Remote; South Carolina | Remote; Tennessee | Remote; Texas | Remote; Utah | Remote; Virginia | Remote Please Note: This is a remote position available in the state(s) listed on this job. Additionally, employment with BambooHR is contingent on passing both a background and credit check. AI at BambooHR At BambooHR, we believe in leveraging cutting-edge technology to empower people and transform HR. We’re actively integrating AI into our solutions and workflows to enhance efficiency and drive innovation. To that end, we’re looking to our existing team members and future hires to share this forward-thinking mindset: individuals who are curious about AI’s potential, eager to learn and adapt, and ready to explore how intelligent tools can elevate their work along with BambooHR’s impact on setting people free to do great work. Join us in reimagining the future of HR! Essential Job Duties Agents now write, review, test, and ship code alongside engineers. As Principal Architect for AI-Native Developer Experience, you will lead the architecture for how BambooHR engineers and agents build software together, from the tools and context agents rely on to the pipelines that validate their work. We are looking for someone who is endlessly curious, stays at the forefront of AI and software technology, and knows when to think a problem through and when to settle it with a working prototype. This is a hands-on role on an award-winning product, with a team that lives our Bamboo Values, at a company that believes you should have a life outside of work. You will: Set the direction. Define the technical vision, reference architecture, and incremental roadmap for AI-native development, and document key decisions in ADRs. Experiment and prove it out. Track emerging models, agents, and developer tools, run time-boxed experiments and proofs of concept, and turn what works into supported patterns while retiring what does not. Establish and champion agentic engineering practices. Define how engineers work with coding agents (spec-driven development, context engineering, review of agent-generated code), build a shared library of skills, tools, and MCP servers, and evangelize these practices across engineering through demos, playbooks, and communities of practice. Automate the SDLC with agents. Architect agentic workflows from triage through implementation, review, testing, and remediation, with autonomy levels and human-in-the-loop guardrails set by risk and backed by evals. Build the knowledge layers. Give agents and engineers accurate, current context through engineering and product knowledge layers: code intelligence, service catalogs, architecture records, domain models, and business rules. Make domains agent-ready. Define the standard for agent-ready domains (clear boundaries, documented APIs, agent-callable tools, fast tests, ephemeral environments) and help teams close the gaps. Reimagine CI/CD for the AI era. Redesign the pipeline for the volume of agent-authored changes, with intelligent test selection, merge queues, automated quality and security gates, and progressive delivery. Rethink the core developer experience. Modernize development environments, onboarding, documentation, and the internal developer portal so they serve engineers and agents alike, and measure developer experience and productivity to guide where we invest. Govern for trust and cost. Partner with Security, Privacy, and Quality Engineering on agent permissions, sandboxing, and audit trails, and track AI cost and quality so gains hold up. Lead hands-on and through others. Write production code and reference implementations, partner closely with architects and staff engineers across domains to set direction and land changes, and mentor engineers as they build agentic skills. What You Need to Get the Job Done Bachelor’s degree in computer science or a related field, or equivalent experience At least 10 years of software engineering experience, with at least 7 in software architecture or staff-plus technical leadership Daily, hands-on use of AI coding agents, and a track record of turning that into practices or tools other engineers adopt Experience building production LLM systems, including tool calling, agent orchestration, context engineering, RAG, and evals Deep experience designing CI/CD, build systems, and developer platforms at scale Strong SaaS architecture fundamentals and fluency in our stack (PHP, React, MySQL) Working knowledge of the OWASP Top 10 (including for LLM Applications) and supply chain security A record of influencing architects and senior engineers without direct authority Sound judgment in ambiguous problem spaces and exceptional communication, including the ability to give and receive direct feedback What Will Make Us REALLY Love You You have built agent tooling, MCP servers, or open-source developer tools You have led AI adoption or productivity change across a large engineering organization You have built systems handling sensitive data in regulated SaaS (HR, payroll, SOC 2) What You'll Love About Us A Great Company Culture that has been recognized by multiple organizations like Inc , and Salt Lake Tribune Comprehensive health, life, and disability insurance Generous leave policies that include 4 weeks of vacation, 12 company holidays, parental leave, and volunteer time off so you can enjoy quality of life 401k plans with up to 6% company match $2000 Paid-Paid Vacation bonus EAP through Headspace Check out all our benefits that benefit you About Us At BambooHR, we're building something different: we're building a people intelligence platform that transforms HR and sets people free to do great work! We're a proven market leader driving innovation while building lasting success through thoughtful, sustainable growth. Here, you'll find a place that champions growth: both professional and personal, both individual and collective. We invest in potential, giving you the space to stretch your capabilities and turn good ideas into reality while providing the safety net of a supportive, values-driven culture. Our approach combines meaningful work with meaningful lives, offering competitive benefits, professional development, and the flexibility to thrive both in and outside the office. What sets us apart isn't just what we do, but how we do it: with openness, integrity, and a shared commitment to doing the right thing. Join us in creating HR software that makes work better for everyone, while we make work better for you. BambooHR is committed to the full inclusion of all qualified individuals and will ensure that persons with disabilities are provided reasonable accommodations throughout the hiring process.  If you would like to request accommodations, please let your recruiter know. BambooHR is An Equal Opportunity Employer--M/F/D/V Because our team members are trusted to handle sensitive information, we require all candidates that receive and accept employment offers to complete a background check before being hired. For information on California Privacy Policy, click here . Our process utilizes AI as an assistant to efficiently process and analyze candidate data. Recruiters and hiring managers maintain full oversight and accountability, ensuring that all final selection and rejection decisions are human-made and based solely on objective job qualifications. Please see our General Privacy Notice and California Privacy Notice for more details. See our AI Guidelines for Candidates for details on how BambooHR uses AI in recruiting, how we expect candidates to use AI, and what is not allowed.

-Проектирование и разработка LLM-сервисов и API (REST/gRPC) для интеграции с внешними системами. -Создание и оптимизация RAG-пайплайнов и систем гибридного поиска для повышения качества и точности ответов.

Опыт КР от 4 лет, из них от 2 лет на Go (HTTP/gRPC API, конкурентность, тестирование). От 6 месяцев ежедневной работы с AI-агентами для разработки (Claude Code, Cursor, Codex или аналоги).

Задачи: - Развитие архитектуры Cortex: LangGraph-агенты, маршрутизация запросов, мультиагентные сценарии - Разработка и оптимизация RAG-пайплайна: индексация документов, работа с эмбеддингами и реранкерами, поиск по векторным представлениям - Интеграция с LLM (Claude / OpenAI / GigaChat / open-source модели), контроль стоимости инференса, стриминг ответов (SSE) - Разработка backend-сервисов на Python - Работа с PostgreSQL, в т.ч. с хранением и поиском по векторам - Интеграция с ядром платформы Visiology через REST API (дашборды, метрики, модели данных) - Точечные задачи на Angular/TypeScript (UI Cortex) и C#/.NET при стыковке с сервисами платформы - Написание unit- и интеграционных тестов, разработка технической документации Требования: - Опыт коммерческой разработки от 6 лет - Уверенное знание Python, опыт построения backend-сервисов - Опыт работы с PostgreSQL - Понимание базовых принципов работы с LLM и RAG: эмбеддинги, векторный поиск, prompt engineering, ограничения контекста - Практический опыт работы с AI-ассистентами разработки (Claude Code, Cursor, Copilot или аналогами) - Понимание работы веб-приложений (HTTP, REST API) - Знание структур данных и шаблонов проектирования - Умение проводить качественное code review - Опыт работы с системами контроля версий (Git) - Знание английского языка на уровне чтения технической документации

Location: Chicago, IL or Remote CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy , creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and seamlessly. We’re pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair journey. Through purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at www.cccis.com . The Role As a Senior Machine Learning Engineer, you'll own models and evaluations end to end within a problem area and turn the results into product decisions. You'll join a new engineering group at CCC building AI-native products for our auto casualty business, the injury side of auto claims. The group is small and senior, and it's growing fast. Our teams work on: Medical bills: AI products that help claims teams handle the medical bills on injury claims accurately and efficiently. Claims decision support: products that help claims professionals make better, faster decisions on injury claims. Agentic Rules Platform: the rules engine and agentic tooling behind decisions across our casualty products, plus the evaluation infrastructure every team relies on. Your impact: You'll show, with evidence, whether our AI works and whether it's worth it. You'll build models on real claims data, design the evaluations that compare our AI with expert decisions, and measure the impact customers see. Most of our products run on large language models, so you'll combine statistical modeling with LLM evaluation and write the production code to ship both. Salary range is: $180,000 - 225,000 This position is bonus eligible. Key Responsibilities: Build and ship statistical, ML, and hybrid LLM models (including retrieval and embeddings) on real claims data Design evaluations and gold datasets with data labelers and subject matter experts, and run them continuously as the product changes Measure impact through experiment design, baselines, and ROI analysis, and explain the results clearly to product, sales, and customers What success looks like: In your first month , you've run your first evaluation on real data and shared what you found. By six months , you've shipped a model or evaluation to production, and a product decision was made on evidence you produced. Requirements: Typically 5+ years of experience in machine learning, data science, or quantitative engineering roles A strong quantitative foundation (statistics, probability, experiment design) from a degree, research, or equivalent experience Strong Python and SQL, and a track record of taking models to production and measuring how they perform Hands-on experience with both statistical ML and LLM-based approaches (RAG, embeddings, vector search), including evaluating LLM outputs Real experience working faster with AI-assisted tools, with examples you can walk us through Nice to have Causal inference, survival analysis, or calibration methods applied to business decisions Experience fine-tuning models for domain-specific tasks Interview Policy & Privacy Notice: A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available HERE . About CCC's Commitment to Employees: CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion & Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most. At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC’s success. CCC offers competitive compensation and benefits to support you and your families, including: 401K Match Paid time off Annual Incentive Plan Performance Bonus Comprehensive health insurance Adoption Assistance Tuition Reimbursement Wellness Programs Stock Purchase Plan options Employee Resource Groups For more information about our benefits, please check out our careers site . Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture here

Location: Chicago, IL or Remote CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy , creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and seamlessly. We’re pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair journey. Through purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at www.cccis.com . The Role As a Senior AI Engineer, you'll own agents end to end within a problem area, from the first prototype to measured performance in production. You'll join a new engineering group at CCC building AI-native products for our auto casualty business, the injury side of auto claims. The group is small and senior, and it's growing fast. Our teams work on: Medical bills: AI products that help claims teams handle the medical bills on injury claims accurately and efficiently. Claims decision support: products that help claims professionals make better, faster decisions on injury claims. Agentic Rules Platform: the rules engine and agentic tooling behind decisions across our casualty products, plus the evaluation infrastructure every team relies on. You'll build the AI agents behind our products. They work with complex documents and claim data, call tools, and support claims experts in their daily work. You'll own the orchestration, retrieval, evaluations, and guardrails that make them safe to rely on, and you'll write the production code to ship them. Salary range is: $180,000 - 225,000 This position is bonus eligible. Key Responsibilities: Design and build LLM-powered agents and workflows: orchestration, tool use, retrieval, structured extraction, and human-in-the-loop review Build evaluations with data labelers and subject matter experts, and run them on every change Make agents production-grade: guardrails, observability, cost and latency, and careful handling of sensitive health data What success looks like: In your first month, you've shipped a measured improvement to an existing agent. By six months, an agent you built is in production with customers, backed by evaluation results. Requirements: Typically 5+ years of professional software or ML engineering experience, including meaningful recent work with LLMs Strong production engineering skills in Python, including API services, and comfort working in TypeScript At least a year of shipping LLM-powered products to real users, including retrieval (RAG, embeddings, vector search) and prompt engineering Experience designing evaluations for non-deterministic systems, and the habit of measuring before and after every change A quantitative mindset: you're comfortable with metrics, sampling, error analysis, and knowing when a result is real Real experience shipping faster with AI-assisted or agentic engineering tools, with examples you can walk us through Nice to have: Document understanding, OCR, or extraction from complex documents Experience fine-tuning LLMs or working with multimodal data Interview Policy & Privacy Notice: A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available HERE . About CCC's Commitment to Employees: CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion & Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most. At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC’s success. CCC offers competitive compensation and benefits to support you and your families, including: 401K Match Paid time off Annual Incentive Plan Performance Bonus Comprehensive health insurance Adoption Assistance Tuition Reimbursement Wellness Programs Stock Purchase Plan options Employee Resource Groups For more information about our benefits, please check out our careers site . Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture here

Location: Bengaluru, India We are looking for a Senior Data QE Engineer with solid experience in ETL testing and data validation, and strong SQL skills. You will design and run data quality tests, validate pipelines end to end, reconcile source and analytical data, and give engineering and business teams evidence for release decisions. You will also automate comparisons in Python, work with Airflow pipeline runs, and use AWS and Grafana to observe pipeline health. You will use an AI coding assistant to analyze data and author SQL, Python, and quality checks, and you will review generated output before it is used. This position is intended for Hyderabad-based candidates who are available to work from the office. The client runs a large application landscape and the analytical datasets behind it. Data moves from PostgreSQL sources on AWS into Snowflake through orchestrated pipelines. Quality for that data is part of delivery: test design, checks on movement and transformation, quality metrics, and practical help when data has to be corrected. Data QE engineers own that hands-on work for data moving from source systems into analytical datasets, from test design through execution, investigation, and release-readiness reporting. Own data quality for data moving from source systems into analytical datasets, from test design through execution, investigation, and reporting. Design, implement, and execute data quality tests, and publish quality metrics and dashboards that producing and consuming groups can use. Validate pipelines end to end, covering movement, transformation, completeness, history, freshness, and compliance. Write reconciliation, drift, and quality SQL on Snowflake layered models (raw, history, silver, and gold), including slowly changing dimensions and merge behavior. Validate PostgreSQL sources with consistent snapshot counts and checks that logical replication kept the expected data. Use logical and physical data models and data contracts to assess downstream impact and set quality coverage. Automate data comparison and reconciliation in Python with pytest, and keep the checks in GitHub. Trigger pipeline runs in Airflow and read task results into the quality verdict. Investigate quality issues and support remediation with the groups that produce and consume the data. Design failover, outage, and volume tests and judge the evidence, including recovery time and recovery point. The platform team executes destructive and chaos tests. Run read-only checks in pre-production and production. Integrate quality checks with CI/CD on GitHub Actions or an equivalent tool. Use AWS and Grafana to observe pipeline health, including CloudWatch metrics, secrets metadata, and container platform state. Check classification, masking, and retention against the stated data rules. Track defects to closure in Jira and keep test cases and results in TestRail. Provide quality evidence, risks, and readiness input for releases. Use an AI coding assistant to analyze data and author SQL, Python, and quality checks, and review generated output before it is used. Senior-level data quality engineering experience in ETL testing and data validation. Strong SQL and Snowflake data-modelling experience, including layered raw, history, silver, and gold models, reconciliation and drift queries, and slowly changing dimensions and merge behavior. Experience with logical and physical data models and with assessing the downstream impact of schema and data-contract changes. Experience validating PostgreSQL sources, including consistent snapshot counts and logical replication. Hands-on Python automation for data comparison and reconciliation, using pytest or an equivalent framework. Experience running and reading orchestrated pipelines in Airflow or an equivalent scheduler. Experience validating data movement, transformation, completeness, history, freshness, and compliance from source systems into analytical datasets. Experience diagnosing data quality issues and supporting remediation. Experience integrating data quality checks with CI/CD using GitHub Actions or equivalent tools. Experience with test management and defect tracking in TestRail and Jira. Working knowledge of AWS and Grafana for pipeline observation, including CloudWatch, secrets management, and container platforms. Experience designing resilience tests and judging evidence for failover, outage, volume, and recovery objectives. Working knowledge of data classification, masking, and retention checks. Experience producing data quality metrics, reports, and dashboards. Experience with risk-based testing in Agile or Kanban teams. Hands-on use of AI coding assistants (Cursor, GitHub Copilot, Claude Code, Codex, or equivalent) to author SQL, Python, and quality checks, with human review of generated output. Ability to communicate clearly with engineering and business stakeholders. Experience providing quality evidence, risks, and readiness input for releases. Experience observing Snowflake Openflow or NiFi connector state well enough to recognize a stalled load. Experience with custom cross-table data quality checks that publish results for dashboarding. Familiarity with GenAI, LLMs, and agentic workflows for maintaining data quality checks. Familiarity with RAG and MCP concepts for QE tooling and for generating test data. Knowledge of AI-driven test optimization and coverage analytics (SeaLights or equivalent). Experience with service virtualization using WireMock or an equivalent tool, so checks can run when a dependency is unavailable. Experience specifying and reviewing dbt tests. Developers author those tests.

Location: Canada; Calgary; Vancouver; Toronto; Montreal Workplace: Remote Who are we? Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Why this role? We are on a mission to build machines that understand the world and make them safely accessible to all. Data quality is foundational to this process. Machines (or Large Language Models to be exact) learn in similar ways to humans: by way of feedback. By labeling, ranking, auditing, prompting, red teaming, and correcting output, you will improve Large Language Model’s performance for iterations to come, thus having a lasting impact on Cohere’s tech. Cohere is looking for Data Annotation Specialists with backgrounds and skills in Trust & Safety, Content Moderation, AI model evaluation, or related fields. This role is best suited for candidates who bring strong contextual judgment, cultural and bias sensitivity, and experience applying nuanced guidelines to complex or ambiguous content. Successful candidates will be highly detail-oriented, comfortable evaluating safety risks across different user intents and scenarios, and able to make consistent, well-reasoned decisions with a high degree of independence after onboarding. IMPORTANT CONTEXT ON THIS ROLE: In this position, you will be asked to engage with human-generated and model-generated tasks which will sometimes mean intentional exposure to explicit content. Your annotations on these explicit tasks will be used to prevent the Large Language Model from generating unintentional, adversarial, toxic, or unsafe outputs. The types of explicit content you may be exposed to may include but are not limited to those of a sexual, violent, or psychologically disturbing nature. Please Note: This is a part-time, remote, independent contractor position available within Canada or the United States. We seek candidates who are able to commit to 16 hours per week minimum at a 45 CAD/hour or 40 USD/hour contract rate, depending on your location, consisting of 30/hour base pay plus 15 CAD or 10 USD/hour hazard pay. This role is BYOD 💻 - Bring Your Own Device (laptop). 12 months contract with potential for extension. As a Data Annotation Specialist on safety task, you will: - Evaluate and improve model safety: Label, rank, audit, and refine human- and model-generated text to improve safety, quality, and policy alignment, including content that may be sexual, violent, or psychologically disturbing. - Apply nuanced safety judgment: Assess model outputs against detailed safety guidelines, rubrics, and style standards, making consistent decisions across ambiguous, sensitive, and context-dependent cases. - Create prompts and safety test cases: Write realistic prompts, user scenarios, and adversarial examples that help evaluate model behavior across safety categories and uncover unsafe, evasive, over-refusing, or policy-inconsistent responses. - Support quality and calibration: Identify annotation inconsistencies or unclear guidelines, and provide actionable feedback on recurring edge cases, model failures, and opportunities to improve data quality. - Work with precision and independence: Complete annotation tasks with strong attention to detail, while being comfortable working independently in a globally distributed, asynchronous team environment. You may be a good fit if you have: - 1+ years of experience in Content Moderation,Trust and Safety, AI data annotation, LLM evaluation, or a related analytical role, with exposure to quality assurance, red teaming, and/or prompt engineering preferred. - Experience applying detailed guidelines to complex and sensitive content, with strong contextual and sociocultural judgment and the ability to recognize and manage personal bias. - Emotional resilience: Comfort working with content that contains unsafe, explicit, and/or toxic content, including content of a sexual, violent, or psychologically disturbing nature. - Excellent command of written English and the ability to clearly justify content evaluations, including why an output is safe, unsafe, high-quality or low-quality. Bonus points if you are fluent in another language! - Strong attention to detail and commitment to accuracy, with the ability to maintain consistency across high-volume and monotonous tasks. - Strong execution in a remote environment, including good time management, comfort using new tools, and the ability to work independently in a global, asynchronous team. The Candidate Journey: Initial Screening - Once you have submitted your application our Talent Team will review your resume and writing samples. Virtual Annotation Test - This assignment will test your written skill through various language-based tasks, such as a a writing sample, interacting with a chat bot, and more. Video Screen - If selected to move forward, you will have a short video call with a member of our Operations Team! Offer - Independent Contractor Agreement As an independent contractor, you maintain control over how you complete your work and may work with multiple clients simultaneously, although we ask you to declare if any of these are with a direct competitor of Cohere and maintain IP confidentiality of the Cohere project. Independent contractors are not eligible for health benefits or other benefits provided to employees. Compensation for services is provided to contractors by contractors invoicing for services provided pursuant to the terms of our agreement with the contractor. It is important to understand that as an independent contractor, continuous work is not guaranteed. The client-contractor relationship is fundamentally project-based, meaning engagements may be temporary, periodic, or intermittent based on our organizational needs and project availability. As an independent contractor, you should anticipate fluctuations in workflow and therefore compensation for services when Cohere does not require as many hours of services in a week. Prospective candidates, please be advised: this role involves working with human generated and model generated tasks that may involve exposure to not safe for work (NSFW) text content as part of data annotation tasks, including explicit, offensive, or other inappropriate material. If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from the U.S. The Opportunity Grafana Labs is seeking a Staff Engineer (AI & Automation) to own the AI agent infrastructure and automation platform that powers our Marketing Operations organization. You’ll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You’ll ship production systems that teams depend on daily. This is a high-autonomy role where you own the technical direction. You’ll identify the highest-leverage problems across Marketing, RevOps, and SDR teams, design the solutions, and ship them. You’ll define the technical direction for the automation platform (data models, API contracts, shared libraries, reference architectures) and partner with Data Engineering, GTM Systems, and Field Operations to build scalable, self-service automation that eliminates manual work and drives operational efficiency. What You'll Be Doing Agentic Systems & AI Infrastructure Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs) Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths Systems Integration & Backend Services Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems (BigQuery, Slack, CRMs, email, calendars, analytics tools) Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal knowledge bases, customer data, and real-time business context Build serverless or containerized services (GCP Cloud Functions, Cloud Run) that scale with usage and integrate with Grafana's cloud infrastructure Automation & Workflow Enablement Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to scope high-impact automation problems, identify bottlenecks, and build solutions with measurable business outcomes Design and deploy workflows using orchestration tools (n8n, Workato, or custom platforms) with CI/CD, testing, and production reliability standards Build systems designed for self-service with documentation, playbooks, and enablement materials that let partner teams operate independently We invest heavily in developer productivity. You'll have access to AI coding assistants (Claude Code, Gemini CLI, OpenAI Codex, and others of your choice within security guidelines). We encourage pragmatic AI-assisted development paired with strong code review and quality standards. What Makes You a Great Fit 8+ years of software engineering experience with depth in backend development, systems integration, or data/analytics engineering 2+ years hands-on experience applying LLMs/AI to production workflows, not just prototypes Strong proficiency in Python and JavaScript/Node.js with Git-based workflows, code review practices, and testing discipline Hands-on experience with LLM frameworks and patterns including prompt engineering, RAG, function calling/tool use, structured output parsing, and evaluation Experience building and operating multi-agent systems at scale including agent decomposition, orchestration patterns (sequential chains, router/dispatcher, parallel fan-out), state management, and production monitoring You diagnose business problems before writing code. You think in workflows and outcomes, not just functions. Deep familiarity with Google Cloud Platform, BigQuery, and serverless/containerized services (Cloud Functions, Cloud Run) Understanding of LLM failure modes and production mitigations including confidence thresholds, fallback logic, human escalation, and cost/latency management Proven ability to identify high-leverage problems, push back on low-impact requests, and deliver end-to-end with minimal direction Fluent with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code). You use AI to build AI systems Clear technical communicator who can explain complex systems in simple terms to both engineers and business stakeholders Bonus Points Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, Qdrant, pgvector) Familiarity with marketing or sales platforms (Salesforce, Customer.io, HubSpot, Marketo, Outreach) Experience with frontend frameworks (React, Slack Block Kit) for building user-facing AI tool interfaces Observability tooling for AI systems (LangSmith, Weights & Biases, custom evaluation frameworks) Experience with workflow orchestration platforms (n8n, Temporal, Prefect, Airflow) Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to data sources Prior work automating marketing, sales, or customer success workflows in a B2B SaaS environment Active in open-source communities. Grafana is built on OSS and we value engineers who share that DNA In the United States, the base compensation range for this role is USD $154,445 - USD $185,334. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from Canada. Residents of Quebec are not eligible for this role. The Opportunity Grafana Labs is seeking a Staff Engineer (AI & Automation) to own the AI agent infrastructure and automation platform that powers our Marketing Operations organization. You’ll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You’ll ship production systems that teams depend on daily. This is a high-autonomy role where you own the technical direction. You’ll identify the highest-leverage problems across Marketing, RevOps, and SDR teams, design the solutions, and ship them. You’ll define the technical direction for the automation platform (data models, API contracts, shared libraries, reference architectures) and partner with Data Engineering, GTM Systems, and Field Operations to build scalable, self-service automation that eliminates manual work and drives operational efficiency. What You'll Be Doing Agentic Systems & AI Infrastructure Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs) Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths Systems Integration & Backend Services Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems (BigQuery, Slack, CRMs, email, calendars, analytics tools) Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal knowledge bases, customer data, and real-time business context Build serverless or containerized services (GCP Cloud Functions, Cloud Run) that scale with usage and integrate with Grafana's cloud infrastructure Automation & Workflow Enablement Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to scope high-impact automation problems, identify bottlenecks, and build solutions with measurable business outcomes Design and deploy workflows using orchestration tools (n8n, Workato, or custom platforms) with CI/CD, testing, and production reliability standards Build systems designed for self-service with documentation, playbooks, and enablement materials that let partner teams operate independently We invest heavily in developer productivity. You'll have access to AI coding assistants (Claude Code, Gemini CLI, OpenAI Codex, and others of your choice within security guidelines). We encourage pragmatic AI-assisted development paired with strong code review and quality standards. What Makes You a Great Fit 8+ years of software engineering experience with depth in backend development, systems integration, or data/analytics engineering 2+ years hands-on experience applying LLMs/AI to production workflows, not just prototypes Strong proficiency in Python and JavaScript/Node.js with Git-based workflows, code review practices, and testing discipline Hands-on experience with LLM frameworks and patterns including prompt engineering, RAG, function calling/tool use, structured output parsing, and evaluation Experience building and operating multi-agent systems at scale including agent decomposition, orchestration patterns (sequential chains, router/dispatcher, parallel fan-out), state management, and production monitoring You diagnose business problems before writing code. You think in workflows and outcomes, not just functions. Deep familiarity with Google Cloud Platform, BigQuery, and serverless/containerized services (Cloud Functions, Cloud Run) Understanding of LLM failure modes and production mitigations including confidence thresholds, fallback logic, human escalation, and cost/latency management Proven ability to identify high-leverage problems, push back on low-impact requests, and deliver end-to-end with minimal direction Fluent with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code). You use AI to build AI systems Clear technical communicator who can explain complex systems in simple terms to both engineers and business stakeholders Bonus Points Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, Qdrant, pgvector) Familiarity with marketing or sales platforms (Salesforce, Customer.io, HubSpot, Marketo, Outreach) Experience with frontend frameworks (React, Slack Block Kit) for building user-facing AI tool interfaces Observability tooling for AI systems (LangSmith, Weights & Biases, custom evaluation frameworks) Experience with workflow orchestration platforms (n8n, Temporal, Prefect, Airflow) Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to data sources Prior work automating marketing, sales, or customer success workflows in a B2B SaaS environment Active in open-source communities. Grafana is built on OSS and we value engineers who share that DNA In Canada, the base compensation range for this role is CAD 164,490 - CAD 197,389 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Boston, MA, United States, New York, NY, United States Title of role: Senior Data Scientist Location: New York or Boston; Hybrid (2 days in the office required) Approved Salary Range: 145k- 150k About the Role : Rue Gilt Groupe is hiring a Senior Data Scientist to build and ship the personalization systems behind Rue La La, Gilt, and ShopSimon. You will own products end to end, not just the models behind them: from problem framing and success metrics through feature engineering, training, real-time serving, and monitoring, and see your work reach 50M+ members every day. Flash sale off-price is one of the hardest settings in e-commerce for recommendations. Inventory is limited and short-lived, new products and boutiques launch daily, and cold start is the norm, not the edge case. If that sounds like a fun problem, we would like to talk. Key Responsibilities: Personalization at scale: Ranking and recommendation models that power product discovery across boutiques, product pages, and our AI shopping assistant Core algorithms: Boutique sort, similar styles, complete the look, and real-time reranking that blends member intent with merchandising goals Exploration and learning: Contextual bandits and adaptive strategies that adjust the experience to how each member likes to shop Product and model ownership: Shape the roadmap and success metrics with Product, then build the production training and inference pipelines, batch and real-time, with the monitoring and reliability to match Experimentation: Design offline evaluation and online A/B tests, and turn results into clear decisions with Product and Merchandising GenAI where it helps: Use LLMs and embeddings where they improve recommendations, and expose models as tools the shopping assistant can call Cross-functional impact: Partner with engineering, product, marketing, and merchandising teams, and present your work to leadership Experience and Background Needed : Contextual bandits, reinforcement learning, or cold-start techniques Embeddings, two-tower or sequence models, and vector search Databricks (MLflow, Unity Catalog, Model Serving) or GCP (Gemini Enterprise Platform) Production LLM for inference, RAG, evaluation, or agent tool calling E-commerce, retail, or fashion experience Deriving insights from complex data through analysis and modeling Our Stack: Databricks, Python, SQL, Spark, PyTorch, GCP (Gemini Enterprise Platform), and AWS. About the AI & Data Science Team We are a small, senior team that owns the product, the science, and the production systems. There is no handoff between deciding what to build, building the model, and shipping it, so you carry your work from idea to launch. You will have the freedom to try new techniques, the data to test them, and a direct line from your work to member experience and revenue. What Our Team Offers Working at RGG is more than just a job; it’s an opportunity to join a mission-driven team that values Innovation and Impact. We are committed to supporting our employees' success and well-being: Comprehensive Coverage: Robust health, dental, and vision insurance effective on the date of hire. Time & Flexibility: Generous Flex Time Off (FTO) and flexible remote/hybrid work options that support a healthy work-life balance. Culture: A supportive, inclusive culture that encourages innovation, safety, and creative risk-taking. Community: Paid volunteer opportunities and regular DEI celebrations to foster a strong sense of community and collaboration. Impact: The chance to make a real, measurable impact at a mission-driven, fast-growing company poised for major expansion. We encourage you to apply Even if you don’t meet every single qualification, we’d still love to hear from you. We value passion, curiosity, and a commitment to learning as much as experience.  We celebrate diverse perspectives and strive to create an inclusive environment for all our Associates. Work Authorization Rue Gilt Groupe requires all applicants to be currently authorized to work in the United States on a full-time basis. This position is not eligible for visa sponsorship now or in the future . Rue Gilt Groupe is an Equal Opportunity Employer and will consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, or protected veteran status. Rue Gilt Groupe is committed to providing Associates with equal pay for equal work and carefully considers a wide range of compensation factors, including but not limited to, prior experience, education, certification(s), license(s), skills and expertise, location, internal equity, and other factors that are job related and consistent with business need. Our goal is to support, reward and compensate the entire individual. Depending on role eligibility, your offer may also include bonus/commission, stock options, paid time off, medical, dental, vision and basic life insurance. Therefore, final offer amounts may vary from the amount stated. The above statements are intended to describe the general nature and level of work being performed by the employee(s) assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required of the employee(s) assigned to this job. Rue Gilt Groupe reserves the right at any time, with or without notice, to alter or change job responsibilities, reassign or transfer job positions or assign additional job responsibilities within your general skill set or capabilities. Rue Gilt Groupe is proud to be an Equal Opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. ABOUT US: Ready for the most memorable – and stylish – experience of your professional career? Then join us at Rue Gilt Groupe. Combining three complementary brands, Rue La La, Gilt, and Shop Simon, we are the premier off-price e-commerce portfolio company. Our model defined the online treasure hunt through its daily sale events allowing our customers to discover over 5,000 premium and luxury brands at prices up to 70% off full-price retail. We believe in fashion for all, sparking delight through daily discovery and shopping as an occasion to celebrate!  World-class merchandising, technology and marketing bring our shopping experience to life, and we hire world-class people to do it.  Living our values and being empowered, tenacious, passionate, collaborative, innovative, and kind is something we strive for every single day. We meet over coffee and brainstorm new ways to spark delight for our members. Volunteer on- and off-hours together. Plan some serious surprises for our coworkers, because nothing ignites innovation like a breakfast cereal buffet or an afternoon slice of cake. And we don't hesitate to use our associate discount – after all, we're as enthusiastic about style as our customers. The way we work?  It's so much more than what happens between the weekends. It empowers us to think, create, and innovate, so we can deliver the first-rate experience today's customer’s demand. Rue Gilt Groupe GDPR/CCPA Pre-Collection Notice for Job Applications: We collect personal information (PI) from you in connection with your application for employment with Rue Gilt Groupe, including identifiers, contact information, employment and education history, and related information. We use this PI for purposes related to evaluating your application and potential employment. Depending on your location, you may have rights under GDPR or U.S. state privacy laws. For additional details or if you have questions, please see our GDPR Applicant Privacy Notice and CCPA Applicant Privacy Notice or contact us at recruitingcoordinator@ruegiltgroupe.com.

Location: Poland Workplace: remote Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports. In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.Who We’re Looking For:We are looking for an experienced AI Tech Lead with a strong .NET engineering background and hands-on expertise in building production-grade AI solutions.In this role, you will lead the technical direction of an AI engineering team responsible for designing, developing, and operating intelligent capabilities within the Creatio platform.You will work on the AI agent platform that enables AI agents to safely perform real work within enterprise workflows — interacting with tools and APIs, accessing business data, maintaining context and memory, enforcing permissions, and collaborating with humans when needed.This is a hands-on technical leadership role that combines software architecture, advanced AI engineering, team mentorship, and active involvement in development.We are looking for someone who can make architectural decisions, solve complex engineering challenges, introduce modern AI development practices, and help the team deliver reliable, secure, and scalable AI-powered solutions.Responsibilities:Lead the development of architectural solutions, including AI-powered features, agentic workflows, RAG-based solutions, and LLM integrations.Drive continuous optimization of development processes; introduce modern tools, AI-assisted development practices, engineering standards, and quality improvements.Facilitate team ceremonies: backlog refinements, sprint planning, and sprint reviews (demos).Take an active part in backlog execution: pair programming, complex development, code reviews, and mentoring.Collaborate closely with stakeholders and product managers to define technical direction and translate business requirements into technical solutions.Guide the design and implementation of AI agent architectures, including tool calling, orchestration, context and memory management, permissions, and guardrails.Ensure high quality through automated testing, AI evaluations, observability, and continuous monitoring of production AI solutions.Monitor and guide incident response (4th-line support), ensuring SLA compliance and issue resolution.Actively contribute to knowledge sharing, team development, and continuous improvement.Requirements: Must have:6+ years of professional software engineering experience, with strong expertise in C# and .NET.3+ years of experience in a Tech Lead or Team Lead role, including architectural decision-making, technical ownership, and mentoring.Hands-on experience building and delivering LLM-powered applications to production.Strong understanding of AI agent architectures, including tool calling, orchestration, context management, and agent frameworks.Knowledge of prompt engineering, AI evaluations, observability, and AI security best practices.Proficiency with AI coding agents (Claude Code, Cursor, Codex, or similar tools) in daily development.Strong knowledge of software architecture, distributed systems, REST APIs, and backend engineering principles.Experience with relational databases, automated testing, CI/CD, and cloud-native development.English level: Upper-Intermediate or higher, with strong communication, leadership, and problem-solving skills.Nice to have:Experience with MCP, multi-agent systems, and advanced agent orchestration.Practical experience with RAG, embeddings, vector/hybrid search, and LLM integrations.Knowledge of LLMOps practices, including evaluation pipelines, monitoring, and cost optimization.Experience with AI platforms such as Anthropic API, Azure OpenAI, AWS Bedrock, or Google Vertex AI.Python experience for AI development, prototyping, or automation.Experience with Kubernetes, enterprise SaaS products, or low-code/no-code platforms.What to expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Location: In-Office About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Locations: Austin, Lisbon, San Francisco, NYC, or London About the Role Search is being rebuilt around AI. People increasingly get answers from AI instead of a list of links, agents run dozens of searches to answer a single question, and more than half of the traffic reaching sites on Cloudflare is now automated . Search is shifting from a destination to a utility, and Cloudflare is building the search layer for this agentic Internet. Agentic Search at Cloudflare gives agents everything they need to find information, whether it lives in a customer’s own data or on the open web. It spans two products: AI Search for internal data, and Web Search API for the open web. AI Search (internal data), now generally available , is the search primitive for applications and agents . It is a fully managed indexing and retrieval pipeline built on Workers AI , Vectorize , R2 , and Browser Run . Developers connect a website or R2 bucket, or upload their own files, and query them with natural language through a Workers binding, REST API, or MCP server. Under the hood: continuous indexing, hybrid vector and keyword retrieval, reranking, metadata filtering, native multimodal (image) embeddings, and OCR for scanned documents. We use it to power search on our own blog and developer docs. Web Search API (external data), now in open beta , gives agents real-time web context with a single API call. It runs on AI Gateway , so every search gets the same logging, analytics, billing, and access controls as model inference. Developers can choose from multiple search providers and always get results back in one normalized format. Your mission in this role is to make Cloudflare the default place developers and agents go to search, across both their own data and the open web, and eventually in a single call. You’ll also help build a search ecosystem that works for AI companies, site owners, and creators alike. What You’ll Do Talk directly with developers, AI companies, publishers, and customers every day. Own the strategy, roadmap, and execution for Agentic Search (AI Search and Web Search API), from ingestion and indexing through retrieval, ranking, and answer generation. Define and measure what “good search” means, including relevance, freshness, latency, and cost, and build the evals that improve it with every release. Scale AI Search for the workloads that matter most, like multi-tenant platforms, enterprise agents, and website search, with support for billions of documents, rich media, and built-in observability. Take Web Search API and shape what comes next: provider partnerships, search and page extraction in one call, blending web and private data, Own pricing and packaging, and make our products first-class for agents through MCP, agent-friendly APIs, and templates like NLWeb . Partner with engineering, ML, and product teams across Workers AI , Vectorize , AI Gateway , Browser Run , and AI Crawl Control , as well as Marketing, DevRel, BD, Sales, and Support. Represent Cloudflare at conferences, community events, and customer and partner meetings. Examples of Desirable Skills, Knowledge, and Experience Proven experience as a PM, EM, or founder shipping search, information retrieval, data infrastructure, or developer platform products. You’ve led teams to ship before and can point to impact. Deep understanding of how search works end to end: crawling, indexing, chunking, embeddings, hybrid retrieval (BM25 + vector), query rewriting, reranking, and retrieval-augmented generation (RAG). You understand the tradeoffs between relevance, freshness, latency, and cost. Experience defining and measuring search quality, including offline evals, relevance judgments, metrics like recall, MRR, and NDCG, and online experimentation. Fluency in the modern AI ecosystem: LLMs, text and multimodal embedding models, agents, tool calling, and MCP. You’ve built with them yourself and know where they break. Hands-on ability to write code and use AI and the Internet to learn new things fast. You’ve built a RAG pipeline or an agent that searches the web, and you have opinions about what made it good or bad. Deep empathy for developers and understanding of their workflows, pain points, and how they adopt new tools and platforms. Understanding of the web publishing ecosystem: crawlers, bots, SEO and answer engine optimization (AEO), and the changing economics of AI search for content creators. Comfortable working where technology, business, and policy meet. Experience with usage-based pricing, two-sided marketplaces, or partner and business development relationships, including build-vs-partner decisions, is a plus. Exceptional communication and collaboration skills. You can translate between ML research, infrastructure engineering, and business stakeholders, and align diverse teams on goals. Passion for design details and polish. You raise the bar for sweating the details. External presentation skills. You can walk into a room of developers or AI company leaders and build trust and credibility. Compensation Compensation may be adjusted depending on work location. For Seattle/NYC/California based hires - Estimated annual salary of: $172,000 - $215,000 For SF/Bay Area based hires - Estimated annual salary of: $179,000 - $224,000 For Lisbon based hires - Estimated annual salary of: €68,000 - €85,000 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Задачи: — участие в формулировке ИИ-гипотез, подготовке данных и обучении моделей, включая LLM-решения и классический ML — экспериментирование с LLM, prompt-инжиниринг, RAG и агентные подходы — разработка прототипов ИИ-сервисов — оценка качества моделей по метрикам, проведение офлайн- и онлайн-экспериментов — ведение технической документации и артефактов экспериментов Требования: — опыт работы в DS/ML не менее 3 лет в реальных продуктах — уверенные знания Python и библиотек NumPy, pandas, scikit-learn, PyTorch и других — опыт решения NLP-задач не-LLM методами — опыт или готовность быстро освоить LLM (развёртывание, настройка, prompt-инжиниринг, RAG/агенты) — понимание работы генеративных моделей и методов их дообучения — навыки подготовки и анализа данных, построения и интерпретации метрик — знание принципов создания ML-сервисов в on-prem (REST API, Docker) — понимание ML-жизненного цикла — английский язык для чтения статей и документации