Вакансии

– Опыт работы от 4-х лет на Python. – Практический опыт построения RAG-систем и работы с векторными хранилищами, желательно PostgreSQL + pgvector.

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 Locations Amsterdam, Netherlands and London, United Kingdom 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. What you will do as a Customer Engineer The Senior 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: 8 - 12 years of 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 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. For Netherlands based hires: Estimated annual salary is between €111,000 - €174,000. The final offer will be inclusive of time exemption, in alignment with the applicable law and collective bargaining agreements. This role is eligible to earn incentive compensation under Cloudflare’s Sales Compensation Plan. The estimated annual salary range includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan. Equity This role is eligible to participate in Cloudflare’s equity plan 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: Poland Workplace: fully About the Client Our client develops white-label payment and financial software for businesses and financial service providers. Its modular platform supports payments, accounts, cards and operational workflows through APIs and integrations. Role Overview Turn AI ideas into reliable production systems with measurable business impact. You will define the architecture and roadmap for LLM-powered solutions, including agents, RAG and automated workflows. Working with skilled engineering, product and security colleagues, you will take initiatives from proof of concept to production using modern cloud infrastructure, Docker and Kubernetes. Key Responsibilities Define the AI architecture and technology roadmap in line with business objectives. Design and implement scalable AI and LLM-powered solutions, including agents and automated workflows. Develop RAG architectures, semantic search and enterprise knowledge systems. Evaluate AI models, platforms and infrastructure for performance, security and cost. Integrate AI solutions with existing APIs, backend systems and microservices. Establish standards for AI evaluation, monitoring, observability and security. Collaborate with Engineering, Product and Security teams to deliver measurable business impact. Guide AI initiatives from proof of concept to production and promote engineering best practices. Requirements 8+ years of software engineering experience, including architecture or technical leadership. Proven experience designing and deploying production-grade AI or LLM-powered systems. Strong knowledge of Generative AI, LLM APIs, RAG, embeddings and vector search. Experience with AI agents, tool calling and workflow orchestration. Strong backend architecture skills, including distributed systems, microservices and APIs. Familiarity with cloud platforms, Docker, Kubernetes and modern infrastructure. Understanding of AI evaluation, monitoring, security, privacy and data governance. Ability to balance solution quality, scalability, latency and cost. Fintech or payments experience is an advantage. Knowledge of Russian or Ukrainian is required. Ability to work remotely with reasonable overlap with Central European Time (CET). Key Soft Skills Ownership and accountability for architectural decisions and delivery. Cross-functional collaboration with engineering, product and business stakeholders. Clear communication of technical concepts and trade-offs to different audiences. Adaptability as AI technologies develop, with a focus on practical business value. What We Offer Competitive salary aligned with experience. Collaborative and transparent team culture. High-impact role in a scaling fintech company. Recognition of personal milestones and achievements. Social benefits.

Location: Cyprus Workplace: fully About the Client Our client develops white-label payment and financial software for businesses and financial service providers. Its modular platform supports payments, accounts, cards and operational workflows through APIs and integrations. Role Overview Turn AI ideas into reliable production systems with measurable business impact. You will define the architecture and roadmap for LLM-powered solutions, including agents, RAG and automated workflows. Working with skilled engineering, product and security colleagues, you will take initiatives from proof of concept to production using modern cloud infrastructure, Docker and Kubernetes. Key Responsibilities Define the AI architecture and technology roadmap in line with business objectives. Design and implement scalable AI and LLM-powered solutions, including agents and automated workflows. Develop RAG architectures, semantic search and enterprise knowledge systems. Evaluate AI models, platforms and infrastructure for performance, security and cost. Integrate AI solutions with existing APIs, backend systems and microservices. Establish standards for AI evaluation, monitoring, observability and security. Collaborate with Engineering, Product and Security teams to deliver measurable business impact. Guide AI initiatives from proof of concept to production and promote engineering best practices. Requirements 8+ years of software engineering experience, including architecture or technical leadership. Proven experience designing and deploying production-grade AI or LLM-powered systems. Strong knowledge of Generative AI, LLM APIs, RAG, embeddings and vector search. Experience with AI agents, tool calling and workflow orchestration. Strong backend architecture skills, including distributed systems, microservices and APIs. Familiarity with cloud platforms, Docker, Kubernetes and modern infrastructure. Understanding of AI evaluation, monitoring, security, privacy and data governance. Ability to balance solution quality, scalability, latency and cost. Fintech or payments experience is an advantage. Knowledge of Russian or Ukrainian is required. Ability to work remotely with reasonable overlap with Central European Time (CET). Key Soft Skills Ownership and accountability for architectural decisions and delivery. Cross-functional collaboration with engineering, product and business stakeholders. Clear communication of technical concepts and trade-offs to different audiences. Adaptability as AI technologies develop, with a focus on practical business value. What We Offer Competitive salary aligned with experience. Collaborative and transparent team culture. High-impact role in a scaling fintech company. Recognition of personal milestones and achievements. Social benefits.

Location: Spain Workplace: fully About the Client Our client develops white-label payment and financial software for businesses and financial service providers. Its modular platform supports payments, accounts, cards and operational workflows through APIs and integrations. Role Overview Turn AI ideas into reliable production systems with measurable business impact. You will define the architecture and roadmap for LLM-powered solutions, including agents, RAG and automated workflows. Working with skilled engineering, product and security colleagues, you will take initiatives from proof of concept to production using modern cloud infrastructure, Docker and Kubernetes. Key Responsibilities Define the AI architecture and technology roadmap in line with business objectives. Design and implement scalable AI and LLM-powered solutions, including agents and automated workflows. Develop RAG architectures, semantic search and enterprise knowledge systems. Evaluate AI models, platforms and infrastructure for performance, security and cost. Integrate AI solutions with existing APIs, backend systems and microservices. Establish standards for AI evaluation, monitoring, observability and security. Collaborate with Engineering, Product and Security teams to deliver measurable business impact. Guide AI initiatives from proof of concept to production and promote engineering best practices. Requirements 8+ years of software engineering experience, including architecture or technical leadership. Proven experience designing and deploying production-grade AI or LLM-powered systems. Strong knowledge of Generative AI, LLM APIs, RAG, embeddings and vector search. Experience with AI agents, tool calling and workflow orchestration. Strong backend architecture skills, including distributed systems, microservices and APIs. Familiarity with cloud platforms, Docker, Kubernetes and modern infrastructure. Understanding of AI evaluation, monitoring, security, privacy and data governance. Ability to balance solution quality, scalability, latency and cost. Fintech or payments experience is an advantage. Knowledge of Russian or Ukrainian is required. Ability to work remotely with reasonable overlap with Central European Time (CET). Key Soft Skills Ownership and accountability for architectural decisions and delivery. Cross-functional collaboration with engineering, product and business stakeholders. Clear communication of technical concepts and trade-offs to different audiences. Adaptability as AI technologies develop, with a focus on practical business value. What We Offer Competitive salary aligned with experience. Collaborative and transparent team culture. High-impact role in a scaling fintech company. Recognition of personal milestones and achievements. Social benefits.

Развитие и поддержка ML-инфраструктуры (Linux, Docker, Kubernetes, Python, GitLab CI, Git, Kubeflow, Prometheus, Grafana Airflow S3 / MinIO HelmPyTorch / TensorFlow Fine-tuning — LoRA, QLoRA, PEFT Дистилляция RAG,Hugging Face Quantization, ONNX, TensorRT). Интеграция LLM и других моделей в продакшн-окружение.

Location: Москва Команда продукта «Smart Support» работает для 200 тысяч сотрудников Сбера и занимается разработкой удобных и комфортных инструментов ИТ-поддержки. Наши сервисы направлены на поддержку и решение проблем пользователей с оборудованием (ПК/ноутбук, мобильные устройства, принтера, ВАРМ и т.д), а также решением проблем с программным обеспечением на этом оборудовании. Сейчас мы активно внедряем AI-агентов в процессы онлайн и оффлайн поддержки, которые позволяют нативным и более быстрым образом решить проблему или вопрос клиента. Обязанности \- разрабатывать агентов и мультиагентные сценарии \- улучшать качество агентов на основе разметки и данных из production \- развивать RAG, Agentic RAG, работу с инструментами и базами знаний \- интегрировать агентов с внутренними системами и сопровождать их в production \- при необходимости разрабатывать ML-модели для поиска, ранжирования или классификации. Требования \- практический опыт разработки LLM-агентов от 1 года \- уверенный Python и опыт асинхронной разработки от 4 лет \- понимание принципов работы и ограничений LLM \- понимание принципов построения агентных систем: structured output, tool calling, ReAct/agentic loop, управление состоянием и контекстом, multi-agent и human-in-the-loop \- понимание RAG и Agentic RAG: подготовка знаний, embeddings, поиск, retrieval, reranking и формирование контекста для LLM \- умение писать качественный production-код \- понимание подходов к оценке агентных систем: формирование eval-выборок, выбор метрик, оценка итогового результата и действий агента \- умение разбираться в сложных бизнес-процессах и переводить их в логику агента \- опыт запуска агентов в production \- знание LangGraph, LangChain \- практический опыт с MCP, A2A и multi-agent-системами. Будет плюсом: \- fine-tuning моделей \- опыт разработки и оценки ML-моделей \- базовое понимание Kubernetes и CI/CD. Условия * комфортный современный офис рядом с м. Тульская \\ мцк Верхние Котлы * гибридный формат работы (на испытательный срок - офис) * ежегодный пересмотр зарплаты, квартальная и годовая премия (премия указывается в зависимости от должности и системы премирования) * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте (для вакансий уровня Junior) * 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.

Знание Python и основ машинного и глубокого обучения (ML/DL). Понимание NLP и LLM, принципов дообучения моделей (Fine-tuning), построения RAG-систем и семантического поиска.

Уверенное знание Python (ООП, typing, итераторы, генераторы, управление памятью). Опыт асинхронного и конкурентного программирования, разработки надежных сервисов на FastAPI, TDD, мониторинга и аудита.

Ваша задача — строить RAG-системы, мультиагентные процессы и интегрировать LLM (OpenAI, Anthropic Claude) в реальные системы брокера (CRM, техподдержка, KYC/Compliance, аналитика). 🛠 Требования к кандидату: 5+ лет в бэкенд / full-stack разработке.

Location: Москва Команда DataPlatform-Tools реализует платформенные инструменты для сервисов, AI-агентов и потребителей в домене HR-аналитики всего Банка. Мы обеспечиваем self-service для инженеров, аналитиков данных, DS, ML-инженеров: готовые DAG пайплайны, тесты качества данных (DQ), lineage, BI-визуализации. Разработка интеллектуальных ассистентов и чат-ботов для автоматизации процессов подбора персонала и карьерного развития сотрудников. Наш фокус — доступность данных не только для сотрудников, но и для AI-агентов! Для этого мы применяем подходы топовых компаний в мире и формируем собственную практику на огромном массиве данных Обязанности * развитие текущих LLM-агентов и решений на их основе * проектирование и разработка новых LLM-агентов и интеллектуальных ассистентов * работа с RAG-системами и векторными базами данных * оценка и повышение качества ML-моделей * участие в создании чат-ботов для автоматизации HR-процессов Требования * опыт работы с LLM и фреймворками для разработки агентов (LangChain, LangGraph и др.) * уверенные знания Python и SQL * опыт работы с NLP-задачами * опыт создания чат-ботов и интеллектуальных ассистентов * понимание принципов RAG (Retrieval-Augmented Generation) * опыт работы с векторными базами данных * навыки оценки качества ML-моделей Условия * комфортный современный офис рядом с м.Кутузовская * возможность выбрать удобный график – офис/гибрид * 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 (для Junior позиций) * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * льготная ипотека для каждого сотрудника * бесплатная подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера. * корпоративная пенсионная программа * отсутствие строгого дресс-кода.

Location: Brussels, Belgium We currently have a vacancy for a Data Scientist – Text mining / NLP fluent in English, to offer his/her services as an expert who will be based in Brussels, Belgium. The work will be carried out either in the company’s premises or on site at customer premises. In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team on site and off site. Your tasks Design, implement and optimise advanced AI, NLP, and ML models. Use LLMs, RAG frameworks, and other state-of-the-art approaches; Create methods for tokenisation, part-of-speech tagging, named entity recognition, classification, clustering and other text mining-related tasks; Fine-tune pre-trained models on domain-specific tasks; Conduct thorough research and stay updated on the latest trends and advancements in NLP, ML, and AI technologies; Develop and maintain robust, scalable, and efficient code using Python; Collaborate with cross-functional teams to integrate AI/ML solutions into existing products and services; Perform rigorous analysis and experimentation to improve model accuracy, efficiency, and scalability; Participate in peer reviews and contribute to the continuous improvement of AI solutions; Contribute to the design and implementation of ML application architecture and its solution stack; Develop comprehensive reports and visualisations to communicate insights and findings to stakeholders. Requirements Bachelor degree in IT with focus on Statistics, Data Science, Machine Learning combined with 12 years of relevant working experience ; Experience in Machine Learning and Natural Language Processing; Experience with AI-powered code assistants (e.g., Amazon Kiro, Github Copilot), staying updated with advancements in AI-driven code technologies; Experience with A/B testing and experimental design of ML models; Experience with pre-trained models and LLMs like GPT, and other Transformer-based architectures; Experience with tools like Matplotlib and Seaborn for creating data visualisations; Experience with deep learning frameworks for complex model architecture such as TensorFlow or PyTorch; Proficient in continuous code delivery and unit testing; Excellent knowledge of Python and libraries (e.g. Pandas, SpaCy, NLTK, Hugging Face); Good knowledge of SQL tooling (Oracle, PostgreSQL); Knowledge of NoSQL databases (Elasticsearch, MongoDB); Knowledge of architectural design of scalable ML solutions such as model servers, GPU resource optimization; Knowledge in one of the following areas: predictive (forecasting, recommendation), prescriptive (simulation), topic detection, plagiarism detection, trends/anomalies detection in datasets, recommendation systems; Understanding of bias in ML applications and bias mitigation techniques; Strong understanding of linguistics and text processing techniques; Good knowledge of European Commission grant management ecosystem (eGrants) would be an asset; Excellent command of the English language. Benefits If you are seeking a career in an exciting and dynamic company, where you will offer your services as part of a team of a major European Institution, operating in an international, multilingual and multicultural environment where you can expect real chances to make a difference, please send us your detailed CV in English, quoting reference (158834/11/2026). We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential. EUROPEAN DYNAMICS (ED) ( www.eurodyn.com ) is a leading Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Stockholm, London, Nicosia, Hong-Kong, Valetta, etc). The company employs over 600 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc or equivalent). We design and develop software applications using state-of-the-art technology. The group generates annual revenues in the range of EURO 40 million, with an EBITDA in the range of 20%. The value of our contract portfolio exceeds EURO 250 million. EUROPEAN DYNAMICS is a renowned supplier of IT services to government institutions, multinational corporations, public administrations and multinational companies, research and academic institutes. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion. EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in www.eurodyn.com/privacy . By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorise ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy. Furthermore, when providing your data, it is up to you to explicitly consent that your data can be assessed for future job openings, for as long as you do not withdraw such consent. If you do not consent, we will not be able to consider the data you provide to us for future job openings.

собирать, анализировать и документировать требования от внутренних и внешних заказчиков в Confluence. описывать методы для интеграций, разрабатывать функциональные спецификации и API-контракты совместно с ML- и backend-командами.

Location: Remote - United States What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: You'll be the product manager for our Canvas and Agentic AI teams - the teams building Honeycomb's AI-powered investigation experience. Canvas lets engineers use natural language to query, visualize, and understand their production systems. We're pushing well past chat: we're building Skills (pre-configured workflows that encode domain expertise into repeatable, executable actions), Auto-Investigations (agent-driven investigations that kick off before a human gets paged), and a rearchitected Canvas that's both interactive and collaborative. You'll work in a tight triad with engineering and design leads, owning the roadmap for how AI shows up in Honeycomb, from the product UI to our MCP server. You'll partner with our Director of AI Strategy, Research & Development teams, and our customer-facing teams to stay grounded in what customers actually need while pushing toward something meaningfully different from what exists today. This is a role for someone who can hold both execution and ambiguity: shipping production features while navigating a product space where the right answers are still emerging. What you’ll do in the role: Define AI product strategy in service of Honeycomb's vision Synthesize AI trends, customer needs, and technical capabilities into clear strategic recommendations Help the product organization understand where and how AI creates genuine customer value vs. where it's hype Identify emerging observability challenges created by AI adoption (e.g., LLM drift, prompt regression, low-context generated code) Make informed bets about which AI technologies and approaches warrant investment Conduct research that bridges technology and customer reality Build deep understanding of how customers are adopting AI in their engineering workflows Identify patterns across customer conversations that signal future market needs Stay current with AI/ML developments (RAG, fine-tuning, agentic systems, etc.) and translate implications for observability Engage with technical communities, researchers, and early adopters to spot trends before they go mainstream Enable AI innovation across the product portfolio Partner with product teams to identify high-value opportunities to leverage AI capabilities Provide guidance on AI approaches, trade-offs, and best practices without centralizing all decisions Help teams understand how their work fits into our broader AI strategy and how to leverage shared capabilities Synthesize cross-portfolio learnings and socialize what's working (and what isn't) Evangelize the AI-observability connection Articulate Honeycomb's point of view on AI observability both internally and externally Help customers understand how observability needs evolve as they adopt AI Contribute to thought leadership through writing, speaking, and community engagement Build credibility with technical audiences who care deeply about how we use AI, not just that we use it What you’ll bring to the role: Proven AI product experience 5+ years in product management with at least 1+ year shipping AI/ML-powered products Track record of taking AI features from concept to customer impact, including things that didn't work Deep understanding of how engineering teams actually build, deploy, and operate AI systems (not just theoretical knowledge) Familiarity with current AI/ML techniques and the judgment to know when they're applicable vs. overhyped Strategic thinking with customer empathy Ability to synthesize disparate signals (research, customer feedback, technical trends) into coherent strategy Comfort operating with ambiguity and making decisions without perfect information Pattern recognition across conversations—spotting what customers aren't yet saying clearly Strong judgment about when to say "no" or "not yet" despite exciting technology Technical credibility without needing to be the expert Enough technical depth to have earned respect from engineers and architects Genuine curiosity about how things work, paired with humility about what you don't know Ability to evaluate trade-offs between different AI approaches (RAG vs. fine-tuning, model selection, etc.) Understanding of observability principles and why they matter in production systems Communication and collaboration skills Excellent written and verbal communication—can explain complex ideas clearly to varied audiences Ability to influence without authority across product, engineering, and go-to-market teams Comfort presenting to customers, executives, and technical audiences Collaborative mindset that elevates others' work rather than centralizing control Curiosity and learning orientation Demonstrated ability to stay current in fast-moving domains (AI is evolving weekly, not yearly) Intellectual humility—you're more interested in learning than being right Excitement about the intersection of AI technology and real customer problems Energized rather than exhausted by the pace of change in AI Base Salary based on level of experience $198,500 — $233,500 USD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Location: Salt Lake City, Utah, United States About the Role iCapital is seeking a .NET Application/Solutions Architect to lead the architecture, design, and modernization of the illustration related applications. This role serves as a key member of the Core Architecture Team, partnering closely with Product, Engineering, and Implementation teams across the United States and Jaipur to drive cloud modernization, support client delivery, establish architectural standards, and provide technical leadership across strategic platform initiatives. The architect will play a critical role in advancing the transition of legacy systems to scalable Azure-based microservices while ensuring the reliability, performance, and long-term supportability of the various applications ecosystems. Responsibilities Lead architecture strategy, design reviews, and implementation guidance for several applications in the illustration area of the company. Define and govern solution architecture standards, technical roadmaps, and engineering best practices across the Illustration platform. Partner with product management, engineering leadership, and implementation teams to translate business objectives into scalable technical solutions. Champion AI-first development across the engineering org using Copilot, Claude, Cursor and other tools Drive and build agentic customer facing applications providing real-time recommendations, decision support, and interactive help, using Azure Foundry, Open AI and other agentic development platforms.  You are familiar with orchestration, RAG, retrieval grounding, MCP server design, etc. Drive modernization initiatives focused on Azure cloud adoption, microservices architecture, API design, and platform scalability. Lead migration planning and technical design for customers transitioning from legacy and on-premises deployments to our latest version of our application and cloud architecture. Provide architectural leadership and technical oversight to multiple scrum teams, including design reviews, story refinement, and code quality guidance. Establish and maintain integration architecture between illustration applications and other applications to improve maintainability, reliability, and operational efficiency. Participate in production support rotations and provide timely resolution of production issues impacting customers. Create architecture artifacts, technical standards, reference implementations, and proof-of-concept solutions to support strategic initiatives. Qualifications 7+ years of experience in software engineering, application architecture, or solution architecture roles Bachelor's degree in computer science, software engineering, or a related technical discipline Deep expertise in designing and delivering enterprise-scale applications using Microsoft.NET technologies Strong experience architecting cloud-native solutions within Microsoft Azure environments Demonstrated experience building and modernizing distributed systems using microservices, APIs, and event-driven architectures Strong understanding of software design patterns, architecture frameworks, and engineering best practices Experience guiding multiple engineering teams through complex technical initiatives and architectural decisions Proven ability to develop technical roadmaps and lead large-scale modernization efforts Experience participating in production support and incident management processes Expertise in DevOps, CI/CD pipelines, automated testing, and cloud delivery practices Strong communication and stakeholder management skills with the ability to influence technical and business leaders Experience working in Agile software development environments and supporting Scrum teams Previous experience with illustration, annuity, wealth management, insurance, or financial services platforms Experience supporting customer-facing enterprise SaaS products Azure certifications or demonstrated expertise in Azure architecture and cloud engineering Experience leading geographically distributed engineering organizations Benefits The base salary range for this role is $110,000 to $135,000 USD.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Твои задачи — RAG по методике и видеоурокам, файн-тюнинг LLM на русском и казахском, персонализация под профиль ребёнка. • Свой опыт файн-тюнинга (LoRA / QLoRA): сам собрал датасет, дообучил модель, измерил результат.

Location: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About Tavily We’re building the search engine for AI agents. Our API is designed from the ground up to power RAG and real-time reasoning in AI systems. By connecting LLMs to high quality, trustworthy web content, we help developers build agents that are not only intelligent, but also informed. We work with some of the most innovative teams in AI, from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it’s powering sales assistants, research copilots, or internal knowledge tools, we’re the missing link between LLMs and the real world. The role Tavily is seeking a motivated Enterprise Account Executive to help expand our presence with large enterprises and strategic customers. In this role, you will own the full sales cycle, working with organizations that are building and scaling AI-powered applications, developer platforms, and data infrastructure. You will partner with engineering leaders, AI teams, product organizations, and executive stakeholders to help them leverage Tavily’s AI-powered search and data capabilities. This role is ideal for someone who thrives in a fast-paced startup environment, enjoys building pipeline, and can navigate complex enterprise sales cycles from initial engagement through successful close. As an early member of the go-to-market team, you will play an important role in shaping our enterprise sales motion, expanding strategic customer relationships, and helping scale our business. We are looking for a genuine hunter mentality — you build your own pipeline and don’t wait for inbound. This is a remote/hybrid role open only to candidates based on the West Coast . Willingness to travel as needed is required. Your responsibilities will include: Own the full sales cycle from prospecting through close for enterprise accounts Identify and develop new enterprise opportunities through outbound outreach, partnerships, and inbound demand generation Build strong relationships with technical and executive stakeholders, including engineering leaders, product teams, AI teams, and C-suite decision-makers Lead complex sales cycles involving multiple stakeholders, technical validation, security reviews, procurement processes, and contract negotiations Partner closely with Sales Engineering and Product teams to support technical evaluations, proof-of-concepts, and customer onboarding Develop strategic account plans for target enterprises and expand Tavily’s footprint within key customer accounts Maintain accurate pipeline management, opportunity tracking, and revenue forecasting within CRM Share customer feedback and market insights to help inform product development and go-to-market strategy Contribute to building repeatable enterprise sales processes and best practices as the company scales We expect you to have: 7+ years of B2B SaaS, infrastructure software, or technology sales experience, with a focus on enterprise customers Proven ability to consistently meet or exceed quota and close complex enterprise deals Experience managing multi-stakeholder sales cycles involving both technical and business decision-makers Strong prospecting, pipeline generation, and account development skills Ability to clearly communicate the value of highly technical products to both technical and non-technical audiences Strong organizational, communication, negotiation, and executive presentation skills Self-starter mindset with the ability to operate effectively in a fast-paced, high-growth startup environment It will be an added bonus if you have: Experience selling AI platforms, developer tools, APIs, data infrastructure, or cloud technologies Experience selling to engineering organizations, AI teams, developers, or data platform leaders Familiarity with enterprise sales methodologies such as MEDDICC, MEDDPICC, or Command of the Message Experience working in early-stage or high-growth startup environments Technical fluency that enables effective engagement with developers, architects, and technical decision-makers Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. #LI-VC1 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. On Target Earnings Range $300,000 — $350,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

-Проектирование сценариев и пайплайнов: разработка сложных системных запросов и построение цепочек (агентов) с использованием визуальных инструментов (основной стек — Langflow). -Опыт работы с LLM: уверенное понимание архитектуры современных текстовых моделей, их ограничений и возможностей.