Задачи:
— Руководство командой Algorithmic Pricing и поддержка личного и карьерного роста инженеров.
— Обеспечение высокой надежности и низкой задержки системы, управляющей стоимостью доставки в более чем 60 странах.
— Сотрудничество с продуктовыми командами для технического направления и проектирования итеративных решений.
— Ответственность за технические метрики, KPI, мониторинг и оповещения команды.
— Контроль выполнения функционала в небольших, ориентированных на ценность итерациях.
Требования:
— Подтвержденный опыт технического руководства и управления, согласованного с бизнес-целями.
— Глубокое понимание JVM-технологий (Java/Kotlin).
— Опыт работы с микросервисами, API-ориентированными и событийно-ориентированными коммуникациями.
— Знание инфраструктуры как кода (IaaC), в частности Kubernetes и AWS.
— Опыт управления кросс-функциональными командами и зависимостями.
Будет плюсом:
— Знакомство с A/B тестированием.
— Опыт в области ценообразования.
— Способность активно поддерживать младших разработчиков.
Условия:
— Гибридный формат работы с обязательным присутствием 2 дня в неделю в офисе в Берлине.
— 27 дней отпуска с дополнительными днями в зависимости от стажа.
— Бюджет на образование €1,000 и доступ к Udemy Business.
— Медицинские обследования, медитация, абонементы в спортзал и субсидии на велосипед.
— Программа покупки акций сотрудниками, корпоративный пенсионный план, страхование жизни и от несчастных случаев.
— Полная поддержка при переезде в Берлин.
Задачи:
— Разрабатывать надежные backend-системы и проектировать масштабируемые data pipelines и решения для хранения данных, поддерживающие сложный сбор, обработку и анализ данных.
— Владеть полным жизненным циклом продуктов: от бизнес-требований, выбора технологий, стандартов кодирования, agile-разработки, юнит- и интеграционного тестирования, CI/CD до мониторинга.
— Повышать производительность систем, создавая стабильные, масштабируемые и высокопроизводительные решения для финансовой сферы.
— Писать качественный код и помогать другим писать качественный код, наставлять команду и более широкий круг.
— Сотрудничать с другими командами и отделами.
— Вдохновлять инновации и реализовывать видение компании.
— Способствовать межфункциональному сотрудничеству для достижения целей продукта и технологий.
— Участвовать в подборе и адаптации талантливых сотрудников.
Требования:
— Опыт 8+ лет с сильными навыками в Java, Kotlin, Scala или C# и доказанным опытом разработки высокопроизводительных приложений в продакшене.
— Опыт работы с big data технологиями, такими как Hadoop, фреймворками для обработки в реальном времени (например, Apache Spark), продвинутые знания SQL и архитектуры данных.
— Системное мышление: понимание крайних случаев, режимов отказа и жизненных циклов.
— Метрики и принятие решений на основе данных.
— Страсть к разработке ПО и постоянное совершенствование навыков.
— Опыт работы по Scrum/Agile.
— Отличные навыки устного и письменного английского.
— Опыт операционного совершенства, понимание метрик, алармов и дашбордов.
— Приветствуется опыт работы в современной FinTech или платежной организации.
— Знания в области финансовой сверки, отчетности, налогов, методов выплат, таких как виртуальные кредитные карты или клиентские платежи.
— Практический опыт с технологиями Spark для обработки данных, ETL для data pipelines и системами очередей (Kafka, RabbitMQ).
— Опыт работы с инфраструктурными инструментами, такими как GitLab для контроля версий и CI, Kubernetes.
— Опыт разработки, поддержки и отладки крупномасштабных распределенных систем.
— Опыт руководства проектами, инициативами и/или командами с полной ответственностью за системы.
Условия:
— Работа в офисе в Бангкоке, Таиланд.
— Предоставляется релокация.
About Supabase
Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution, including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.
About the team
Management API, written in TypeScript, Nest.js and other JavaScript technologies, is a central part of every product in the Supabase stack. It allows all Supabase services and Supabase Studio to communicate with each other, programmatically manage your own Supabase projects and organisations, as well as integrate with 3rd party services like Vercel, Resend, or Lovable.
You will:
— Design, implement, and maintain both internal and public-facing APIs used across various Supabase products, including Studio, CLI, management APIs, and OAuth applications.
— Integrate with third-party platforms and partners, either by developing custom integrations or providing clear API points for them to connect with Supabase.
— Collaborate closely with various teams across Supabase (DevOps, Frontend, etc.) to ensure smooth integration and implementation of API functionality for the rest of the platform.
— Build and enhance testing, debugging, and monitoring tools to ensure public APIs' stability, reliability, and performance.
— Work with the dev-workflows team to enhance and improve the Branching experience, making it easier and more valuable for Supabase users.
You have:
— 5+ years of experience in backend API development, with strong expertise in TypeScript and JavaScript (Node.js) and familiarity with modern tools and frameworks (e.g., Nest.js, Express, Vitest, Zod).
— Expertise in designing robust, scalable, and maintainable APIs, and experience with API versioning, pagination, and error handling best practices.
— Experience with OAuth, JWT, and API security best practices (rate limiting, CORS, etc.) is a plus.
— Good understanding of PostgreSQL and relational databases.
— Proven ability to build scalable, maintainable APIs and develop tools for testing, debugging, and monitoring API performance.
— Understanding of CI/CD pipelines, Docker, and containerized deployments to streamline API development, testing, and release processes.
What We Offer
— Fully Remote: We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
— ESOP: Every team member receives ESOP (equity ownership) in the company.
— Tech Allowance: Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
— Health Benefits: Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are.
— Annual Off-Sites: Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun.
— Flexible Work: We operate asynchronously and trust you to manage your own time.
— Professional Development: Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
About the Team
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. 280+ team members, 55+ countries, 20+ languages spoken, $500M raised, 500,000+ community members. We move fast, build in public, and use what we ship. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
Hiring Process
We keep things simple, async-friendly, and respectful of your time:
— Apply – Our team will review your application.
— Intro Call – A short video chat to get to know each other.
— Interviews – Up to four calls with: Team Leads, Future teammates, Someone cross-functional from product, growth, or engineering (depending on the role), Someone from our leadership/founding team.
— Decision – We may follow up with a final question or go straight to offer. All communication is remote and we aim to move fast.
RELOCATION TO LONDON OR BARCELONA | PERK
Company Perk is an intelligent platform for travel and spend management, automating manual processes to help businesses reclaim lost productivity.
What you will do
Design and maintain efficient ELT pipelines using dbt to transform raw data into clean models.
Implement best-practice data modeling and software engineering techniques, including CI/CD and testing.
Develop comprehensive data quality checks and monitoring scripts to ensure reliability.
Collaborate with analysts and business users to optimize data models for specific analytical use cases.
Tune SQL queries and data models to improve warehouse performance and reduce latency.
Build scalable, compelling data visualizations in Looker for large teams.
Requirements
3+ years of experience in a data-focused role such as Analytics Engineer, Data Analyst, or BI Developer.
Expert-level proficiency in SQL.
Hands-on experience with dbt or similar transformation frameworks.
Experience with cloud data warehouses like Snowflake, BigQuery, or Redshift.
Solid understanding of dimensional modeling and ETL/ELT principles.
Proficiency with Git for version control.
Must be based within commuting distance of London or Barcelona.
Nice to have Python expertise for automation and orchestration.
Experience with semantic layers and orchestration tools like Airflow.
Knowledge of modern software engineering practices applied to data.
Culture & Benefits
IRL-first culture emphasizing connectivity and collaboration.
Opportunity to work in a global, diverse environment with teams across 12 offices.
Focus on professional growth and impact within a fast-growing SaaS company.
Equal opportunity employer committed to diversity and inclusion.
Задачи:
— Развивать и улучшать основную платформу.
— Улучшать опыт разработчиков, обновляя внутренние библиотеки и фреймворки.
— Вносить вклад в платформу event store.
— Участвовать в разработке внутренних open-source библиотек.
Требования:
— Свободное владение Java.
— Опыт backend-разработки не менее 6 лет.
— Опыт работы с распределёнными системами и CI/CD.
— Высшее образование в области компьютерных наук, математики, физики или смежных областях.
— Умение эффективно работать в команде в динамичной среде.
— Свободное владение английским языком на уровне C1.
Будет плюсом:
— Владение Kotlin или Scala.
— Опыт работы в финансовой сфере.
— Опыт работы в стартапах или масштабируемых компаниях.
— Практический опыт работы в продуктовой среде.
Условия:
— Работа в мультикультурной команде.
— Компания сертифицирована как Great Place to Work™.
— Приверженность разнообразию и инклюзивности.
— Возможность работать из офисов или удалённо в указанных европейских странах.
Процесс найма:
— Откликаться только через официальные каналы Revolut.
— Проверять, что все коммуникации приходят с домена @revolut.com.
— В процессе найма не запрашивается оплата или личная финансовая информация.
Location: Paris
Workplace: OnSite
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
About The Job:
Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases.
You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings.
As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision.
What you will do
- Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions.
- Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries.
- Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders.
- Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives.
- Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment.
- Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.
How We Work in Applied AI
- We care about people and outputs.
- What matters is what you ship, not the time you spend on it
- Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.
- Always ask why. The best solutions come from deep understanding, not from copying what worked before
- We say what we mean. Feedback is direct, timely, and given because we care.
- No politics. Low ego, high standards.
- We embrace an unstructured environment and find joy in it.
About you
- You are fluent in English.
- You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field.
- You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions.
- You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation.
- You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.
- You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus.
- You have strong software engineering skills, including API design, backend/full-stack development, and system architecture.
- You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers.
- You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent.
Ideally, you have:
- Contributed to open-source projects, particularly in the LLM or AI space.
- Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption.
- A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities.
Why join us? You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Montréal
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
About The Job:
Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases.
You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings.
As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision.
What you will do
- Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions.
- Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries.
- Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders.
- Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives.
- Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment.
- Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.
How We Work in Applied AI
- We care about people and outputs.
- What matters is what you ship, not the time you spend on it
- Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.
- Always ask why. The best solutions come from deep understanding, not from copying what worked before
- We say what we mean. Feedback is direct, timely, and given because we care.
- No politics. Low ego, high standards.
- We embrace an unstructured environment and find joy in it.
About you
- You are fluent in French and English.
- You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field.
- You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, Staff Engineer or Solutions Architect) focused on AI products or enterprise solutions.
- You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation.
- You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.
- You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus.
- You have strong software engineering skills, including API design, backend/full-stack development, and system architecture.
- You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers.
- You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent.
Ideally, you have:
- Contributed to open-source projects, particularly in the LLM or AI space.
- Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption.
- A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities.
Why joining us?
You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!
Why join us?
You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Paris
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
The Role
As an Engineering Manager on the Product Engineering team, you will lead the development of systems that power our AI platform and products. This role combines technical expertise with team leadership to ensure we build scalable, reliable solutions for millions of users.
Our product engineering teams, typically ten members, turn AI research into production systems. Your work will influence how our engineering organization operates and how we deliver products to developers and end users.
You will balance technical contributions with team management, partnering with Product Managers to align engineering work with business objectives. The role is key to maintaining engineering standards, clear processes, and consistent delivery.
What You Will Do
- Serve as the primary contact for your team, removing obstacles to execution.
- Own delivery of your team’s roadmap, ensuring projects meet quality and performance standards.
- Partner with Product Managers to define roadmap, scope initiatives, and drive prioritization.
- Contribute to architecture, system design, and code reviews, leading by example.
- Define and evolve team processes to maintain clarity as the team scales.
- Challenge engineers to take ownership and increase team resilience through knowledge sharing.
- Hold your team accountable for results and execution.
- Keep the team engaged in product direction.
What We're Looking For
- Technical expertise in building scalable systems.
- Experience leading engineering teams.
- Ability to balance technical work with team management.
- Experience partnering with Product Managers to align goals.
- Ability to build team culture and establish processes.
- Ability to improve engineering standards and ensure quality.
- Experience shaping engineering organizations.
- Experience turning research into production systems.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Paris
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
The Role
As a Backend Engineer on the Engineering team, you will build the core systems that power our AI platform. Our team develops the backend infrastructure and APIs that enable Studio, Vibe, and Vibe Code, shaping how millions of users and developers interact with our technology. Your work will directly affect the reliability, performance, and scalability of our products.
We focus on creating robust, high-performance systems that support authentication, billing, AI tooling, and developer experience. By joining us, you will contribute to a platform that enables both internal teams and external users to build and deploy AI applications.
What You Will Do
- Design, develop, and maintain scalable backend features and APIs that power our AI platform.
- Ensure high performance and reliability across distributed systems serving millions of users.
- Build and improve systems for authentication, billing, AI tooling, and developer experience.
- Design and implement secure, scalable architectures to support our growing products.
- Collaborate with infrastructure teams on deployment, monitoring, and performance optimization.
- Write clean, maintainable, and well-documented code.
- Partner with cross-functional teams to deliver end-to-end features.
- Solve complex engineering challenges and integrate new technologies into production.
What We're Looking For
- Experience designing and building scalable backend systems and APIs.
- Strong problem-solving skills and ability to tackle complex engineering challenges.
- Experience with distributed systems and performance optimization.
- Ability to write clean, maintainable, and well-documented code.
- Experience with system architecture and secure, scalable design.
- Strong collaboration skills and ability to work with cross-functional teams.
- Experience with modern backend frameworks and technologies.
- Eagerness to learn, iterate, and deliver products.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Paris
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
ABOUT THE JOB
The Applied AI for Defense team is Mistral’s specialized unit dedicated to delivering high-impact, secure AI solutions for institutions and organizations operating in highly regulated and strategic environments. We work hand-in-hand with clients to design, deploy, and maintain AI systems that meet the highest standards of reliability, security, and operational excellence.
Our team combines deep technical expertise with a rigorous approach to compliance and risk management, ensuring that every solution is both cutting-edge and fully aligned with the unique constraints of our partners.
Mistral AI is seeking an Applied AI Engineer to join this team. You will be responsible for the technical design, implementation, and deployment of AI solutions tailored to the needs of critical infrastructure and sovereign institutions. Your work will directly contribute to projects with significant societal and operational impact.
WHAT YOU WILL DO
• Individually deploy AI solutions into production for use cases with significant operational and strategic impact.
• Develop state-of-the-art GenAI applications tailored to the specific needs of sovereign institutions and critical infrastructure, driving technological transformation in collaboration with our customers.
• Work closely with our researchers, AI engineers, and product teams on complex customer projects involving advanced fine-tuning, LLM applications, and contributions to our open-source codebases for inference and fine-tuning.
• Participate in pre-sales discussions to understand the needs, challenges, and aspirations of potential clients, providing technical guidance on Mistral’s products and technologies to diverse stakeholders.
• Collaborate with our product and science teams to continuously improve our offerings based on customer feedback, with a focus on security, compliance, and performance.
HOW WE WORK IN APPLIED AI
• We care about people and outputs.
• What matters is what you ship, not the time you spend on it
• Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.
• Always ask why. The best solutions come from deep understanding, not from copying what worked before
• We say what we mean. Feedback is direct, timely, and given because we care.
• No politics. Low ego, high standards.
• We embrace an unstructured environment and find joy in it.
ABOUT YOU
• Fluent in English.
• PhD or Master's in AI, Machine Learning, Computer Science, or related field.
• 2+ years of experience in AI/ML
• Proven track record of leading teams to deliver complex AI projects from prototyping to production.
• Deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.
• Proficient in Python, PyTorch, and modern AI frameworks (LangChain, HuggingFace). Cloud platforms (AWS, GCP, Azure) and MLOps tools a plus.
• Strong software engineering skills: API design, backend/full-stack development, system architecture.
• Excels in technical communication with technical and non-technical audiences, including executives.
• Thrives in fast-paced collaborative environments and is passionate about mentoring technical talent.
IT WOULD BE GREAT IF YOU
• Have experience with React or other frontend frameworks.
• Have experience with Deep Learning in PyTorch
• Contributed to open-source projects in the LLM or AI space.
• Have experience in customer-facing roles with a focus on enterprise AI adoption.
SECURITY & COMPLIANCE CRITERIA
• Eligibility: must hold citizenship in the target territory (France for now).
• Clearable: must meet all local requirements for high-level security clearance (e.g., no criminal record, fulfillment of national service obligations).
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Задачи:
— написание и поддержка Api и Web автотестов на Python (в том числе smoke, интеграционные, e2e)
— анализ allure отчетов прогона автотестов в CI, локализация и заведение дефектов
— рефакторинг легаси автотестов
— работа с Jira (управление задачами, багами, релизами), анализ и ревью документации в Confluence
— взаимодействие с командой разработки для уточнения логики работы сервисов
Требования:
1. Обязательные требования:
— понимание теории тестирования (опыт работы ручным тестировщиком от 1 года)
— опыт разработки автотестов от 2 лет (Python 3 + Pytest)
— опыт работы с requests, pytest, Selenium или Playwright, SQLAlchemy, pydantic
— обязателен опыт работы с LLM
— опыт работы с Jenkins или с любым другим инструментом CI/CD
— опыт работы с GIT на уровне выше среднего, понимание gitflow
— понимание как устроены REST запросы, заголовки, параметры, тела запросов, виды аутентификации
— знание принципов ООП, паттернов разработки, умение писать масштабируемый код для дальнейшей разработки
— знание клиент-серверной архитектуры
— опыт работы с базами данных Postgres, Mongo
— опыт работы с kafka
— опыт работы с ELK / Grafana
— знание SQL (SELECT, JOIN)
— опыт проведения code review
— умение читать allure отчет
— опыт работы с postman/insomnia, devtools
2. Soft Skills:
— самостоятельность
— ответственность за качество продукта / своей зоны
— умение задавать вопросы и уточнять требования
— коммуникабельность
— умение работать в команде
— умение работать в условиях быстро меняющихся требований
— умение соблюдать договорённости и сроки
Условия:
— удобный офис AgileHome около станции метро Кутузовская с комфортными условиями (столовые, кафе, бесплатные кухня, спортзал, парковка, зоны отдыха)
— конкурентоспособная зарплата (оклад плюс бонусы)
— возможность использовать современные технологии
— полный соцпакет (включая добровольное медицинское страхование)
— обширный выбор образовательных программ и сертификаций за счёт компании
— программу льготного кредитования в Сбере
— скидки у партнёров компании
— шанс поучаствовать в масштабных инновационных проектах.
SuperPlay — разработчик мобильных казуальных игр (Dice Dreams). В 2024 году компания Playtika приобрела SuperPlay.
Требования к кандидату включают опыт работы с iOS, Android, Jira, Postman, TeamCity, TestRail и владение английским языком на уровне proficient.
Задачи:
— Автоматизация проекта с микросервисной архитектурой (более 80 микросервисов).
— Писать не только тесты, но уметь и в фреймворк авто тестов.
— Работа с асинхронным кодом, уметь писать и дебажить.
— Ручное тестирование в зависимости от задач спринта (от 30\70 до 70\30).
Обязанности:
— Ручное и автоматизированное тестирование UI, API, интеграционное тестирование микросервисов.
— Составление грамотных, понятных и однозначных баг-репортов в JIRA.
— Написание/обновление API авто тестов, их запуск и анализ результатов.
— Взаимодействие с аналитиками, разработчиками, администраторами для устранения ошибок.
Требования:
— 3+ года в роли QA Engineer web-приложений, API.
— Опыт в автоматизации API (PyTest) 2-3 года.
— Знание SQL на уровне написания простых JOIN.
— Знание WEB (Browser DevTools, HTML, JavaScript).
— Опыт работы с любым CI/CD.
— Понимание принципов работы клиент-серверной архитектуры.
— Твердое понимание принципов тестирования.
— Способность быстро учиться и адаптироваться к технологическим изменениям.
Условия:
— Полностью белый оклад выше среднего по рынку.
— Отсутствие дресс-кода и бюрократии.
— Рабочий ноутбук на выбор: Mac или PC.
— Покупка билетов до Кипра за счёт компании.
— Рабочая виза для сотрудника и гостевая виза для членов семьи.
— Предоставляем жильё на первый месяц.
— Медицинская страховка и мобильная связь.
— Помощь с переездом семьи из любого региона.
— Бесплатные обеды и напитки.
— Всегда полные корзины фруктов и всяких вкусняшек в офисе.
— Бесплатные курсы английского языка.
— Оплата занятий спортом.
— Помощь с оплатой школ и детских садов.
Задачи:
— Развертывание и поддержка облачной инфраструктуры в AWS (IaC через Terraform)
— Администрирование кластеров Kubernetes (EKS) и управление деплоем через Helm
— Настройка, оптимизация и защита пайплайнов в GitLab CI и GitHub Actions
— Внедрение инструментов сканирования уязвимостей (SAST/DAST) и управление секретами в HashiCorp Vault
— Настройка сквозного мониторинга и логирования (Prometheus, Grafana, ELK/Loki, Sentry), оперативное реагирование на инциденты
— Участие во внедрении и поддержании практик информационной безопасности по стандарту ISO 27001
— Настройка и поддержка веб-серверов (Nginx), управление VPN, SSL/TLS сертификатами и DNS
Требования:
— Уверенное знание Linux (Ubuntu/RHEL) и владение Bash для автоматизации
— Практический опыт работы с AWS (EKS, IAM, S3, RDS) и Ansible
— Глубокое понимание процессов контейнеризации (Docker, Kubernetes) и автоматизации CI/CD
— Понимание принципов сетевой безопасности, опыт работы с криптографическими протоколами и системами управления секретами
— Знание принципов и практический интерес к внедрению стандартов безопасности ISO 27001
Условия:
— Официальное оформление в соответствии с регламентом МФЦА (AIFC)
— График работы 5/2, гибкий гибридный формат (сочетание офиса в Алматы и удаленки) с гибким началом дня
— Стабильная заработная плата
— Интересные и динамичные digital-проекты (включая AI-интеграции и масштабные веб-платформы)
— Сильная техническая команда, минимум бюрократии и открытость к вашим технологическим инициативам
Задачи:
— Присоединиться к команде, отвечающей за облачное подключение, безопасность и управление парком устройств Hue Bridge.
— Участвовать в разработке новой инфраструктуры IoT совместно с облачными инженерами.
— Разрабатывать, тестировать и интегрировать программные компоненты Hue Bridge для встроенного Linux.
— Улучшать пользовательский опыт и операционные расходы на основе данных с устройств.
— Изучать и внедрять инновации в практики и процессы разработки.
— Исследовать возможности полного стека разработки IoT программного обеспечения, от устройств до облака.
— Разрабатывать с использованием различных языков программирования: C, C++, Bash, Python, C#, Go.
Требования:
— Сильные навыки проектирования программного обеспечения и способность создавать простые, надежные и элегантные системы.
— Опыт работы с подключением, сетями и IoT.
— Знания и опыт в области сетевой безопасности.
— Знания и опыт в разработке продуктов, основанных на данных.
— Глубокие знания и опыт работы с C и/или C++ и Linux (OpenWRT и/или Yocto); Rust и/или Python приветствуются.
— Готовность изучать новые среды разработки, языки и платформы.
— Хорошее знание английского языка.
— Умение работать в команде, проактивность.
Условия:
— Зарплата в долларах США.
— Медицинская страховка и покрытие спортивных активностей.
— 26 дней отпуска.
— 100% оплата больничных.
— 3 дня больничного в год.
— Тренинги и практика обмена знаниями.
— Корпоративная культура с ориентиром на людей.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
We're seeking an exceptional Research Engineer to join our Life Sciences team at Anthropic. Our team is organized around the north star goal of accelerating progress in the life sciences, from early discovery through translation, by an order of magnitude. Our team likes to think across the whole model stack. In this role, you'll combine your deep expertise in machine learning engineering to develop novel evaluation frameworks and training strategies that push the frontier of what AI can achieve in biology.
You'll work at the intersection of cutting-edge AI and the biological sciences, developing rigorous methods to measure and improve model performance on complex scientific tasks. You'll collaborate closely with world-class researchers and engineers to build AI systems that can engage in all phases of research and development, while maintaining our commitment to safety and beneficial impact.
Previous experience in life sciences is welcome, but not required for this role.
Minimum Qualifications
Demonstrated experience training and evaluating large language models
Proficiency in Python and familiarity with modern ML development practices
Experience building and managing data pipelines for large-scale datasets
Comfortable navigating ambiguity and developing solutions in rapidly evolving research environments
Strong written and verbal communication skills, with the ability to work independently while collaborating effectively across cross-functional teams
Preferred Qualifications
8+ years of machine learning experience
Prior work experience in AI and biology, including graduate studies (molecular biology, biochemistry, computational biology, or related fields)
Experience working with large-scale biological datasets
Published research or practical experience in scientific AI applications or long-horizon reasoning
Background in reinforcement learning and/or pretraining
Knowledge of containerization technologies (e.g., Docker, Kubernetes) and cloud deployment at scale
Demonstrated ability to work across multiple domains, such as language modeling, systems engineering, and scientific computing
Contributions to open-source scientific software or databases
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$350,000
—
$500,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Задачи:
— Разработка и настройка AI-функций продукта
— Работа с LLM, RAG, embeddings и векторными базами данных
— Интеграция OpenAI, Gemini, DeepSeek и других AI API
— Настройка промптов и улучшение качества ответов моделей
— Работа с учебными материалами и базой знаний
— Поддержка серверной части: Linux, Docker, логи, конфигурации и деплой
— Оптимизация скорости работы и стоимости AI-запросов
Требования:
— Опыт работы от 3 до 6 лет
— Уверенное владение Python
— Опыт работы с LLM, RAG и embeddings
— Опыт интеграции AI API
— Понимание FastAPI и REST API
— Опыт работы с Linux-серверами
— Владение Docker, Git, переменными окружения и инструментами работы с логами
— Умение доводить AI-функции до рабочего состояния в продукте
— Будет преимуществом: опыт работы с Qdrant, Pinecone, Weaviate, Chroma, PostgreSQL, Redis, TTS/STT, Telegram Bot API, Mini App, MLOps и компьютерным зрением
Условия:
— Официальное оформление по Трудовому договору или договору ГПХ (с самозанятым, ИП или физическим лицом)
— График работы 5/2
— Рабочий день: 8 часов
— Гибридный формат работы
— Выплата заработной платы два раза в месяц
— Возможность проектной или долгосрочной занятости
— Условия оплаты обсуждаются по итогам собеседования
Адрес:
Астана, улица Сарайшык, 5
ГибридАстана
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ОфисleadParis; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
leadMontréal; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
Paris; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
Paris; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
Paris; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
