Location: Paris; Warsaw; London
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.
As a Research Engineer on the Orchestral team, you will help build the agentic platform we use to train and evaluate our models. Orchestral is the system our researchers rely on to run training and evaluation at scale — from the rollout engine that powers agentic workflows to the infrastructure that keeps their workloads running reliably. What you build becomes the foundation the whole science team works on.
Your work will span the platform's core: the library, tooling, abstractions and rollout engine — including new capabilities like long-running tasks, subagents and RL features — and the machinery that runs data and jobs at scale, with a focus on resiliency, routing and request handling. You will own significant pieces end to end, from design to production.
This is a software engineering role rather than an ML or infrastructure-operations one: RL or PyTorch experience is not required, and you will spend your time building the platform, not operating it. You will be building a distributed RL system, with the scientists as your users.
WHAT YOU WILL DO
- Design and build the core of the Orchestral platform: the library, abstractions and tooling researchers use to train and evaluate models.
- Build and evolve the rollout engine, shipping new capabilities such as long-running tasks and subagents.
- Run Orchestral as a production system: keep training and evaluation workloads reliable at scale.
- Improve how data and jobs flow through the platform as usage grows — scheduling, routing and request handling.
- Treat researchers as your users: understand their workflows and turn recurring needs into robust, shared tooling.
- Raise the bar on engineering quality across the platform: testing, code review, CI/CD, observability and documentation.
- Contribute to open-source rollout-engine and agent-infrastructure projects where it benefits the platform.
WHAT WE'RE LOOKING FOR
- Experience directly building and debugging complex distributed systems at scale, with an emphasis on reliability and scalability.
- Strong Python skills and solid software-design instincts: testing, code review, CI/CD.
- A builder mindset: you have constructed systems from the ground up, not just operated polished ones.
- A track record in small teams running complex systems at scale — for example in finance, crypto or ad tech.
- Self-starter, low-ego and collaborative, with a product mindset toward your users.
- Curiosity about ML and RL — this experience is not required, but a desire to learn is.
NICE-TO-HAVES
- Hands-on experience with Ray or similar distributed-computing frameworks.
- Open-source contributions, especially to rollout-engine or agent-infrastructure projects such as SLIME, verl or PrimeRL.
- Experience building or working with agentic workflows and environments.
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.
Paris; Warsaw; London; 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
Location: Baku
Workplace: onsite
ABOUT YOU
You will play a pivotal role in delivering high-impact software solutions across our platform. You bring curiosity, initiative, and a passion for clean, scalable systems. You collaborate effectively with teammates and cross-functional partners to design, build, and improve our technical stack. You’re hands-on, deeply engaged in the code, and consistently seeking better ways to solve complex engineering challenges.
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities
Build and ship reliable, secure and scalable backend services in Go.
Own features from design to deployment, with attention to maintainability, security and performance.
Design and build APIs and SDKs used by Business Account frontends, microfrontends and other Xsolla teams.
Build and maintain identity flows such as user creation, login, MFA, SSO and token validation across multiple accounts and clients.
Design multi-tenant services with clear data isolation and per-account configuration.
Take part in architecture discussions and write or review ADRs.
Refactor legacy code to improve structure and efficiency without breaking existing features.
Own production readiness with Datadog: dashboards, monitors and alerts, APM and tracing, log analysis, incident response and root cause analysis.
Write clear, testable, well-documented code, with a focus on quality and automation.
Use AI tools (Claude Code, Cursor, etc.) every day to design, build, test and refactor code faster without lowering quality.
Add AI-assisted code review on top of manual review, check AI-generated code carefully, and help the team set good practices for AI-driven development.
Work with product, frontend, design and platform teams to agree on goals and deliver end to end.
Contribute to technical scoping and estimation.
Reduce technical debt and keep improving the developer experience.
Mentor engineers and give constructive code reviews.
Requirements
6+ years of professional software engineering experience.
2+ years of hands-on Go experience in production.
Strong experience with PostgreSQL and/or MySQL, including schema design and query performance.
Experience designing and building REST APIs (gRPC is a plus).
Hands-on experience with Docker, Kubernetes and Helm.
Experience with message brokers such as RabbitMQ or Kafka.
Comfortable with Git and CI/CD pipelines (GitLab preferred).
Solid understanding of authentication and authorization basics: OAuth2, JWT, sessions and tokens.
Hands-on experience with observability tools, ideally Datadog: metrics, logs, APM/traces and alerting.
Hands-on experience using AI coding assistants in daily work, and the judgment to review, test and correct what they produce.
Basic understanding of cloud platforms (Google Cloud Platform preferred).
Working knowledge of frontend technologies, especially React.
Good written and spoken English, with the ability to explain technical trade-offs to non-technical stakeholders.
Nice to have
Experience building scalable, secure login or identity platforms (Login-as-a-Service).
Deep knowledge of OAuth2, OIDC, SAML, MFA, and session and token management.
Experience with social login, SSO and federated identity.
Experience designing multi-tenant identity systems with isolation and configurability.
Experience delivering developer-friendly APIs, SDKs and integration docs.
Experience with OpenTelemetry, SLOs and error budgets.
Experience with B2B platforms, partner portals or marketplaces.
Experience setting up AI workflows for a team, such as agents, custom skills or prompts, automated MR review, or AI-assisted testing.
The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.
For any inquiries related to data privacy, please contact: careers@xsolla.com
Explore more opportunities at: https://xsolla.com/careers
Location: Paris, France
Workplace: Hybrid
About Ledger
We’re a team of experts pushing the limits of what’s possible, united by our common goal to unlock true freedom through digital ownership, making technology accessible for all. We believe in a world where users, creators and enterprises manage their value with ownership and freedom. Our curiosity drives us to innovate, empowering individuals on a global scale. We believe change is constant and our team moves forward as one, with a culture of problem-solving where every employee is empowered and supported to challenge tradition and create solutions. Our mission is simple: to make self-custody accessible and give people the keys to their own financial futures. If you want to make a true impact, we want you to join us at Ledger.
At Ledger, we’re proud to be the global platform for digital assets and Web3, with over 20% of the world’s crypto assets secured through our Ledger devices. With our headquarters in Paris, and offices in Vierzon, Grenoble, Montpellier, London, Portland, Geneva, Zurich and Central Singapore, we have a team of around 600 professionals developing a variety of products and services to enable individuals and companies to securely buy, store, swap, grow and manage crypto assets – including the Ledger hardware wallets line with more than 7.5 millions units already sold in 200 countries.
The Ledger Devices team is growing. We are taking secure hardware products for Web3 to the next level. Come be part of a very ambitious roadmap at the most respected brand in the industry. We are looking for a senior Mechanical Engineering Lead to help us drive the design of our next generations of products.
Reporting to the head of engineering, you will be responsible for all aspects of the Mechanical architecture.
What you will do:
- Lead the Mechanical design / architecture choices.
- Drive complex integrations of components and structure.
- Own the CAD and integrate all constraints from antenna, PCBA, connectors, …etc.
- Define and Validate reliability testing specifications.
- Drive molds and Tooling processes.
- Own exec relationships with key suppliers.
- Lead/build a team, teach best practices, and develop junior colleagues.
- Communicate with the extended hardware and firmware team members to ensure smooth program delivery.
- Drive DFM efforts, and Contract Manufacturer delivery of the chosen design.
- Lead the CMF definition of Ledger devices, at the intersection of product vision, industrial design requirements and manufacturing constraints.
- Prototype and debug devices in the lab, and perform device teardowns.
- Present clearly the technical choices and trade offs to the leadership team.
What we are looking for:
- 7+ years of experience in the consumer electronics industry, or in an industry where the skillset transfers well (e.g. Medical devices, Wearables, Telecom, IoT…etc.)
- Track record shipping devices to market successfully
- Experience in kicking off tools and processes at scale.
- Strong CAD skills in SolidWorks (preferred) or equivalent (e.g. Creo, Onshape), with a good grasp of GD&T.
- Proficient in tolerance analysis (arithmetic & statistical), and able to plan, conduct and review statistical process control (SPC) studies.
- A practical, hands-on engineer, comfortable troubleshooting directly in the lab and on the line. A natural leader that can develop and inspire others.
- Ability to thrive in a fast-paced environment.
- Willingness to deal with uncertainty and change.
- Curiosity about the crypto / blockchain industry a big plus
At Ledger, we are dedicated to continually investing in our employees which is why we offer more than just salaries; we provide comprehensive compensation packages that include a wide range of benefits. Here are some of the benefits you can look forward to:
- Flexible work options - Our hybrid policy allows employees to work from home up to 3 times per week
- Health & Wellness support - Health and Life Insurance.
- Financial growth opportunities - Employees can become shareholders in Ledger as well as other financial benefits depending on your country of work.
- Commuter allowance - Ledger offers a commuter allowance to contribute to your preferred means of transportation.
- Learning & Development - A comprehensive suite of training solutions providing a personalised learning experience for every employee.
For regionally specific benefits, your Talent Acquisition contact will be able to provide you with more information.
We’re committed to building an inclusive hiring process. If you need any adjustments or accommodations, just let us know, we’ll do our best to support you.
Thinking Machines Lab is looking for a Software Engineer Production Inference Distributed Inference to build and operate distributed production systems for large-scale model serving.
We're looking for someone with experience in Forex / FinTech / Brokerage support and strong knowledge of MT4/MT5. Spotware Systems is hiring an experienced Customer Support Engineer to join our team in Limassol, Cyprus.
Задачи:
— Автоматизация торговых операций
— Разработка моделей управления рисками на основе искусственного интеллекта
— Анализ эффективности торговых операций
Требования:
— Опыт работы с машинным обучением
— Знание SQL
— Опыт работы с большими языковыми моделями (LLM)
— Опыт работы с LangChain
— Знание MLOps
— Опыт обнаружения аномалий
— Опыт финансового контроля
— Владение Python
— Опыт работы с OpenAI API
Условия:
— Гибридный формат работы в Лондоне
Nscale is looking for an Infrastructure Operations Engineer to deliver data centre projects, monitor critical systems, resolve incidents, automate operations, and support customer infrastructure needs.
Operate and maintain BeyondTrust's on-premises and cloud network infrastructure, including routing/switching changes, datacenter resource changes, and routine firewall/security group changes end-to-end across on-prem and cloud environments; Demonstrated proficiency in Administrator/Engineer-level on-premises networking fundamentals.
-Ядро системы: потоковая обработка событий и принятие решений по алгоритму в реальном времени. -Алгоритм и прогнозные модели развиваются вместе с ML-специалистами команды;
Задачи • Проводить тест-дизайн и разрабатывать тестовую документацию. • Комплексно проверять функциональность, используя различные подходы, уровни и типы тестирования.
- Изучение плана тестирования для выделения тестовых случаев. - Определение входных данных, выделение классов эквивалентности и построение таблиц комбинаций для покрытия всех ветвей логики.
О компании:
Qualifyze — ведущая компания в управлении соответствием цепочки поставок в индустрии Life Sciences, основана в 2019 году, работает с более чем 1500 фармацевтическими и медицинскими компаниями по всему миру.
Задачи:
— Обеспечивать надежную работу и развитие систем и автоматизаций в рамках QOS.
— Поддерживать, устранять неполадки и улучшать модули QOS, обеспечивая их стабильность, производительность и устойчивость.
— Вести техническую поддержку производственных решений, решать инциденты и внедрять постепенные улучшения.
— Владеть процессом поддержки и надежности существующих модулей QOS, обеспечивать их доступность и корректную работу.
— Исследовать, устранять ошибки, инциденты и проблемы с производительностью, выявлять коренные причины и внедрять устойчивые решения.
— Разрабатывать и внедрять небольшие улучшения на основе обратной связи и меняющихся требований.
— Мониторить автоматизации, интеграции, каналы данных и AI-решения для выявления сбоев и неэффективности.
— Поддерживать и улучшать интеграции между внутренними системами для обеспечения надежных потоков данных и автоматизации.
— Вести техническую документацию, руководства по устранению неполадок и операционные инструкции.
— Сотрудничать с командой инженеров и бизнес-стейкхолдерами для приоритизации задач поддержки и решения технических проблем.
Требования:
— Опыт в разработке программного обеспечения, автоматизации или аналогичной технической роли.
— Уверенные навыки программирования как минимум на одном из языков: Java, JavaScript, TypeScript или Python, а также знание SQL.
— Практический опыт поддержки, отладки и улучшения производственных приложений и автоматизированных процессов.
— Знание LLM, AI-агентов и агентных рабочих процессов, включая устранение неполадок AI-решений.
— Понимание DevOps-концепций, включая контейнеризацию (Docker), оркестрацию (Kubernetes) и практики CI/CD.
— Мягкие навыки уровня IC3: самостоятельное решение проблем, ответственность за надежность систем, эффективное взаимодействие с коллегами и заинтересованными сторонами, проактивное улучшение процессов и принятие технических решений в рамках стандартов команды.
Условия:
— Релокация в Испанию или Германию с последующим гибридным форматом работы.
— Конкурентная ежегодно пересматриваемая зарплата в диапазоне 35,000–40,000 евро в год, окончательная сумма зависит от опыта и результатов.
— Пакет отпускных, увеличивающийся с длительностью работы.
— Страна-специфические льготы, включая частное медицинское страхование, фитнес и питание.
— Ежегодный бюджет на личное развитие.
— Гибридный режим работы с возможностью до 3 месяцев в году работать из любой точки мира.
— Современное оборудование и инструменты для эффективной работы.
— Ежегодное офлайн-событие компании в Европе.
— Работа в команде профессионалов.
ОфисseniorBaku
ГибридParis, France
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