Вакансии

✔️ 5+ лет опыта разработки на Python. ✔️ Опыт создания AI-агентов и LLM-приложений.

Workplace: remote Location : Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world. Responsibilities : Collaborate with Product Managers and Delivery Leads to define, refine, and prioritize product requirements Gather, analyze, and document business requirements, user stories, acceptance criteria, and business processes Conduct stakeholder interviews, workshops, and user feedback sessions to understand business and user needs Translate requirements into well-structured Jira epics, features, user stories, and tasks Work closely with UX/UI Designers to define user journeys, personas, workflows, and usability requirements Collaborate with engineering and data teams to clarify requirements and support iterative Agile delivery Support the design and validation of AI-powered workflows, including agentic AI interactions and business processes Create and maintain product requirements, process documentation, and knowledge-base materials in Confluence Partner with QA teams to define test scenarios, acceptance criteria, and validation approaches Collect, analyze, and manage user feedback, enhancement requests, and product improvement opportunities Support product releases, user adoption, rollout, and change management activities Maintain a well-structured and prioritized product backlog in collaboration with stakeholders What we expect : 3+ years of experience as a Business Analyst working on software development or digital product delivery projects Experience working in the Life Sciences, pharmaceutical, biotechnology, healthcare, or biomedical research domains Practical experience supporting the delivery of AI-powered applications or solutions Strong understanding of Agile methodologies, including Scrum and/or Kanban. Hands-on experience with Jira and Confluence Proven experience gathering, analyzing, and documenting business requirements, user stories, and acceptance criteria Experience collaborating with cross-functional teams, including Product Management, UX/UI, Engineering, and QA Experience supporting the end-to-end software development lifecycle, from discovery and requirements gathering through testing and release Strong analytical thinking and ability to translate complex or ambiguous business needs into clear, actionable requirements Experience facilitating workshops, stakeholder interviews, and requirements review sessions Excellent communication, documentation, and stakeholder management skills Strong English communication skills Nice to have : Experience working on Agentic AI, or Generative AI (LLM-based) applications Understanding of AI concepts and technologies, including Retrieval-Augmented Generation (RAG), knowledge graphs, semantic search, and metadata management Experience delivering data-centric products, such as data catalogs, data discovery platforms, or scientific knowledge management solutions Familiarity with clinical data management concepts, including real-world data (RWD) and real-world evidence (RWE). Understanding clinical data governance, privacy regulations, and compliance requirements, including GDPR and HIPAA, in the scope of development of AI solutions. Ability to interpret and integrate molecular, clinical, and diagnostic data to support research and healthcare applications. Experience supporting multiple products or workstreams simultaneously We offer : Competitive compensation Remote work Flexible working hours Continuous education, mentoring, and professional development programs A team with excellent tech expertise

-Разработка и развитие backend-сервисов для AI/Agent-платформы на Python. -Проектирование и реализация асинхронных task-processing pipeline: постановка задач, очереди, воркеры, статусы, retries, idempotency.

* Собирать и уточнять требования у руководителей проектов, портфельного офиса и заказчика: что должно быть в реестре, какие своды нужны руководству, кто что имеет право видеть и править. * Превращать требования в чёткие постановки для ИИ-агента и вести разработку через него: модели данных, API, экраны, отчёты, импорты.

-Лидировать разработку продуктов и сервисов цифровой экосистемы. -Формировать и развивать архитектуру экосистемы.

Mistral is looking for an Applied AI Technical Lead Forward Deployed AI Engineer to lead enterprise AI solution delivery and customer deployments.

​​​​Исследование и внедрение современных архитектур, а также подходов к обучению моделей. Разработка AI-агентов прогнозирования.

С нуля собирать и запускать новые AI-продукты. Разрабатывать backend на Python: FastAPI, async, Pydantic.

Location: London Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. As a Software Engineer Intern, Agent, you'll work directly on production AI agents for Sierra's customers. You'll gain hands-on experience contributing to the design and development of AI agents, shipping features, and learning from real-world use cases at scale. If you're hungry to shape and learn from the most important technological wave in history, come build at Sierra.   WHAT YOU'LL BRING - Pursuing a bachelor's or master's degree in computer science or a related field - Strong technical problem-solving skills, especially in fast-changing, ambiguous environments - A builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and ship - Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences EVEN BETTER - Experience building or deploying AI/LLM systems in production - Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering - Prior experience with React, TypeScript, and/or Go INTERN QUALIFICATIONS - The intern program is open to students graduating December 2027 - June 2028 - Note: The full benefits listed below are available only to full-time employees. Interns are eligible for a monthly stipend for health insurance, daily lunch, and, of course, free alphorn lessons. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

-Лидировать разработку продуктов и сервисов цифровой экосистемы. -Формировать и развивать архитектуру экосистемы.

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: Northeast 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. Compensation This role features a competitive base salary and a variable compensation structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion. Compensation may be adjusted depending on work location. For New York City based hires: Estimated annual salary of $204,000.00 - $321,000.00 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.

Location: London, United Kingdom Workplace: hybrid David Kennedy Recruitment is partnering with a global technology services and consulting organisation, that is seeking to onboard a Senior Forward Deployed Engineer specialising in Agentic AI to join their team in London. This is a hands-on engineering role combining AI development, enterprise software integration and direct customer engagement. You will design, build, integrate and deploy AI agents and multi-agent systems into production environments, taking ownership of technical delivery from initial discovery through to enterprise rollout. Position: Senior Forward Deployed Engineer Location: London, UK Model: Hybrid Employment type: Full time DUTIES AND RESPONSIBILITIES: Design and develop production-ready AI agents and multi-agent workflows Build AI solutions using platforms such as OpenAI, Anthropic Claude, Google and Microsoft, alongside frameworks such as LangGraph Integrate AI agents with enterprise applications, APIs, databases, cloud services and internal business systems Implement retrieval pipelines, automation workflows and agent orchestration Develop evaluation frameworks, automated testing, monitoring and production safeguards Troubleshoot AI model, integration, deployment and performance issues Own technical delivery from discovery and prototyping through production deployment Ensure solutions meet enterprise standards for reliability, security, maintainability and scalability REQUIREMENTS: Several years of hands-on software engineering experience using Python, TypeScript, Java or equivalent programming languages Proven experience developing applications using large language models (LLMs) and AI agents Hands-on experience with at least one major agentic AI ecosystem, such as OpenAI Agents SDK, Anthropic Claude Agent SDK, Google ADK, Microsoft Agent Framework, LangGraph or an equivalent framework Strong understanding of agent orchestration, tool calling, retrieval-augmented generation (RAG), prompting and multi-agent workflows Experience integrating APIs, databases, enterprise applications and cloud services Strong software architecture, debugging, testing and integration skills Ability to translate complex business requirements into practical technical solutions OFFER: Competitive annual salary Hybrid working model based at the client´s London office Opportunity to work on cutting-edge Agentic AI solutions for enterprise customers Hands-on involvement in designing, building and deploying production-ready AI agents and multi-agent systems Opportunity to work with leading AI platforms and technologies, including OpenAI, Anthropic, Google and Microsoft Opportunity to take ownership of complex AI projects from initial discovery through to production deployment And many more!

Location: San Francisco Workplace: Remote PINECONE IS THE TRUSTED AI KNOWLEDGE COMPANY. ITS TRUSTED AI KNOWLEDGE PLATFORM—INCLUDING ITS DATABASE, NEXUS, AND MARKETPLACE PRODUCTS—POWER ACCURATE, FAST, AND COST-EFFECTIVE AI APPLICATIONS FOR MORE THAN 10,000 CUSTOMERS AND 1M DEVELOPERS WORLDWIDE. PINECONE'S MISSION IS TO MAKE AI KNOWLEDGEABLE. FOR MORE INFORMATION, VISIT PINECONE.IO http://pinecone.io. ABOUT THE TEAM AND ROLE: We’re hiring a Staff Developer Advocate to own the Pinecone community—online and in-person—with a particular focus on building a strong SF/Bay Area presence. This role is for a senior, hands-on technical communicator who can build developer relationships at scale, run high-signal programs, and translate community needs into product feedback and compelling learning experiences. To succeed in this role, you must be able to build and teach with Pinecone’s AI products—showing developers how to create reliable, scalable AI applications where knowledge and retrieval are central. You’ll translate best practices into practical learning experiences through tutorials, short-form videos, docs contributions, hackathon mentorship, and social posts. Because the team and customer base are scaling quickly, you should be comfortable operating with high autonomy and strong judgment in a fast-paced environment. If you’re excited about: - Learning new technologies and helping others succeed with that technology. - Playing a central role in an exciting and rapidly expanding community. - Shaping the course of a fast-growing company and product category. - Working with colleagues who value clarity, creativity, passion, initiative, and thoughtfulness. Then we want to talk to you! RESPONSIBILITIES: Community Programs (Global) - Lead and grow Pinecone’s Discord: drive engagement, improve onboarding, set norms, and keep the space high-signal. - Run recurring office hours that consistently help developers unblock, learn best practices, and ship. - Support and scale community programs that create real builder outcomes (templates, challenge weeks, help channels, expert AMAs). Events (SF/Bay Area) - Own Pinecone’s SF-area community presence: local meetups, hackathons, and larger Bay Area events. - Develop event programming (themes, speaker selection, talks/workshops), run promotion and attendance growth, and ensure each event produces reusable assets and follow-on engagement. Technical content + assets - Create and maintain hands-on technical assets (sample apps, demos, code walkthroughs) aligned to Pinecone’s core developer use cases: - RAG systems and retrieval quality - Knowledge management patterns using Assistant and other incubating products - Platform/infra patterns for scale and reliability - Publish content across Pinecone channels and external platforms, grounded in what the community is actually trying to build. REQUIREMENTS: - 2+ years of experience in a technical role such as software engineering, solution engineering, or machine learning. - Proficient in 2+ programming languages. - Owned and grown a technical developer community. - Ran in person developer events end to end. - Shipped demos and sample code and taught them clearly. - Strong writing and live speaking and Q&A. - Fluent in LLM apps and RAG and strong API instincts. PERKS & BENEFITS: - Comprehensive health coverage including medical, dental, vision, and mental health resources - 401(k) Plan - Equity award - Flexible time off - Paid parental leave - Annual Company Retreat - WFH Equipment Stipend All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.

На данный момент мы в поиске Data Analyst / Data Engineer (LLM/AI, Data) Формат работы: Удаленный Локация и гражданство: РФ Оформление: только как ИП ✅ Задачи: Сбор данных из внутренних сервисов, LLM Gateway, GitLab, Jira, логов AI-агентов и других источников. Анализ активности пользователей, сценариев и профилей использования AI-инструментов.

Сильная экспертиза в Azure Data Architecture. Обязателен глубокий опыт с Azure Cosmos DB и опыт Azure Synapse Analytics.

Задачи: — Проектирование архитектуры и технические решения по продуктам дирекции, контроль их реализации командой — Развитие ИИ-системы анализа тендеров: разбор тендерной документации с помощью LLM, оценка трудоемкости, интеграция с внутренними системами через API, масштабирование на новые подразделения — Развитие RAG-решений: интеллектуальный поиск по корпоративному хранилищу данных, карты знаний, распределение запросов между агентами — Архитектурное сопровождение и доработки корпоративного портала под внутренние требования (мобильное приложение, конструктор форм, сервис уведомлений и push-рассылок) — Выбор и развертывание LLM: локальные open-source модели на собственных GPU и облачные решения — Организация процесса разработки мобильных и веб-приложений — Внедрение практики разработки с применением ИИ-инструментов, обучение команды — Оценка трудоемкости и участие в пресейлах как технический эксперт — Участие в найме: техническое интервью кандидатов Требования: — Опыт работы архитектором от 5 лет, опыт в коммерческой разработке от 10 лет — Практический опыт построения RAG-систем и LLM-сервисов в продакшене: retrieval, карты знаний, structured output, агентные сценарии — Опыт работы с open-source моделями (Llama, Mistral, Qwen и аналоги) в закрытом контуре и с облачными LLM (GPT, YandexGPT) — Python на уровне самостоятельной разработки — Golang или другой backend-язык как плюс — Опыт архитектуры мобильных приложений: Flutter или React Native, понимание нативной разработки iOS/Android — PostgreSQL, Redis — очереди RabbitMQ или Kafka — Linux (RHEL/CentOS) — Опыт организации работ команды для минимизации сроков разработки MVP — Опыт доведения продукта от идеи и прототипа до промышленной эксплуатации — Регулярное применение ИИ-инструментов в собственной разработке — Высшее техническое образование Условия: — Полная занятость — График 5/2 — Формат работы: удалённо или гибрид

Задачи: — Реализация, операционная поддержка и внедрение инноваций в рамках гибридного облака (Private/Public Cloud, PaaS, Private AI platform). — Администрирование приватного облака и AI-платформы (MLOps, GPU-инфраструктура). — Поддержка PaaS (контейнеризация, Drupal, Moodle, Redis, MySQL). — Оптимизация публичных облаков. — Автоматизация процессов (DevOps, IaC, CI/CD). — Мониторинг. — Участие в дежурствах 24/7 (включая выходные и праздничные дни по графику). Требования: — Магистр (без опыта) или бакалавр с опытом от 2 лет в сфере DevOps, облачного инжиниринга или управления платформами/инфраструктурой. — Опыт работы с AI/ML-платформами с открытым исходным кодом (vLLM, RAG DB) и локальной GPU-инфраструктурой. — Опыт управления Private Cloud на базе Open-Source систем (Proxmox/KVM). — Опыт с IaC, CI/CD и мониторингом. — Опыт работы в ООН, с публичными облаками (AWS, Azure, GCP) и сертификации (Azure/AWS/GCP, Terraform) будут преимуществом. Условия: — Гибридный формат работы во Валенсии, Испания. Языки: — Английский — свободный. — Знание других официальных языков ООН будет плюсом.

Location: Москва Мы ищем инженера, который будет проектировать AI-агентов для департамента ключевых клиентов. Вы будете работать в связке с заказчиком, продуктом и инженерными командами, отвечая за технический результат агента end-to-end. Обязанности * проектирование агентных архитектур: ReAct / планы-действия, tool calling, мультиагентные схемы, маршрутизация запросов между моделями и сценариями * разработка и оптимизация промптов (few-shot, CoT, structured output), управление контекстом, версионирование промптов вместе с кодом * реализация RAG: чанкинг, эмбеддинги, векторный и гибридный поиск, реранжирование, работа с метаданными и мультиязычными документами. * интеграция LLM с корпоративными системами через API и MCP-инструменты: написание и поддержка собственных tools, схем аргументов, обработка ошибок и таймаутов * построение оценочных контуров (evals): датасеты, LLM-as-a-judge, регрессионные прогоны на каждом изменении промпта или модели * защита от галлюцинаций и prompt injection, работа с отказами и обходными путями, контроль grounding на источниках * мониторинг качества и стоимости в продакшене: трейсинг, логирование шагов агента, , телеметрия токенов и задержек * упаковка агентов в сервисы: FastAPI / Python-бэкенд, контейнеризация, CI/CD, секреты, работа в контуре банка * подбор и сравнительная оценка открытых и проприетарных моделей под задачу клиента. Требования * 5+ лет в разработке ПО, из них 2+ года в практической работе с LLM и агентными системами * уверенный Python и опыт промышленной разработки: тесты, ревью, CI/CD, работа в команде * практика с фреймворками агентов и LLM-стеком: LangChain / LangGraph, LlamaIndex, OpenAI/локальные API, Pydantic, асинхронность * глубокое понимание RAG, векторных БД (Qdrant / Milvus / pgvector и др.), эмбеддингов и стратегий поиска * опыт построения evals и оценки качества LLM-систем, а не только «демо-промптов» * навыки работы с генеративными AI-моделями * опыт вывода LLM-решения в продуктив и его последующей эксплуатации * понимание ограничений моделей: контекст, стоимость, задержки, деградация качества. **Будет плюсом** ---------------- * опыт fine-tuning (LoRA/QLoRA, SFT/DPO) и работы с моделями на своих мощностях * опыт сервинга моделей (vLLM/TGI), оптимизации inference и GPU-инфраструктуры * опыт интеграций с enterprise-ландшафтом: очереди, ESB, MCP, внутренние сервисы банка * публикации, доклады, вклад в open-source, опыт наставничества. Условия * комфортный современный офис Москва, Кутузовская 32 * гибридный формат работы * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * система обучения для профессионального и карьерного развития * расширенный полис ДМС с первого дня работы и страхование для семьи * программа ипотеки для сотрудников * подписка СберПрайм+, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера.