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Location: Palo Alto 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   Mistral is seeking Research Engineer - Full Stack to facilitate the adoption of its products among internal stakeholders and collaborate with them to address complex technical challenges.   What You Will Do   • Collaborate closely with researchers, AI engineers, and product engineers on complex customer projects, integrating cutting-edge AI models into clients’ software products. • Design, develop, and maintain scalable and robust full-stack applications, ensuring seamless integration between front-end and back-end systems. • Develop complex use cases with our internal stakeholders, providing guidance and ensuring the best production integration with back-end and front-end interfaces. • Collaborate with our product and science team to continuously improve our product and model capabilities based on internal feedback.   WHAT WE'RE LOOKING FOR   • You are fluent in English • You hold a degree in Computer Science, Software Engineering, or a related field. • You have 2+ years as a technical individual contributor on cutting-edge technologies • You have strong technical coding skills in Python and TypeScript • You have experience with front-end frameworks such as React, NextJS, or VueJS. • You have experience with back-end technologies such as NodeJS. • You have a solid understanding of software development principles, including design patterns, data structures, and algorithms. • You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences   Ideally you have: • Experience with LLM/GenAI models • Contributed to open-source projects or libraries • Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager 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.

Bitmanager.ai — AI-стартап в категории conversational AI agents, создающий платформу для голосовых и текстовых AI-агентов в клиентских коммуникациях.

Компания МТС Банк использует современные цифровые решения и развивает технологичные банковские сервисы для B2B и B2C. Команды создают сайты на TypeScript + React + Next.js с SSR и реализуют проекты в Kubernetes-среде для обеспечения надежности. Задачи: — развивать платформу: участвовать в архитектурных обсуждениях, принимать ключевые технические решения, взаимодействовать с инфраструктурными командами и разработкой — управлять стратегией: формировать и реализовывать дорожную карту инфраструктуры с учетом масштабируемости, отказоустойчивости и безопасности — внедрять инновации: оценивать новые технологии и принимать решения об их интеграции — обеспечивать стабильность: мониторить состояние кластеров, сервисов и хранилищ — оптимизировать ресурсы: анализировать использование мощностей и предлагать меры по снижению расходов — поддерживать порядок: вести актуальную документацию — улучшать процессы: проводить ретроспективы, искать возможности для автоматизации и повышения эффективности Требования: — 5+ лет в SRE/devops/платформенной эксплуатации — глубокие знания Linux, сетей (L3/L4/L7, DNS, TLS, BGP, GSLB), контейнеризации и Kubernetes (Ingress, Istio, Helm, Kyverno, Keda) — навыки поиска узких мест и деградаций — опыт построения мульти-ЦОД кластеров Kubernetes — навыки работы с service mesh — знания и практическое применение сетевых плагинов Kubernetes (Calico, Cilium) — навыки работы и администрирования кластеров с ArgoCD, Vault, Consul — опыт работы с объемными плейбуками Ansible — опыт настройки CI/CD пайплайнов — практика построения мониторинга и алертинга: метрики, логи, трейсы (Opentelemetry, Jaeger, VictoriaMetrics, AlertManager) — будет плюсом опыт работы с Keycloak, Kubevela, OpenBao

Компания МТС Банк ищет специалиста на позицию ML/DevOps Engineer в Москве. Задачи: — деплоить и интегрировать модели, сопутствующие сервисы и инструменты, автоматизировать поставку и оптимизировать потребление ресурсов — мониторить и поддерживать работоспособность — обеспечивать соответствие политикам информационной безопасности и стандартам надёжности при развёртывании ML‑решений Требования: — уверенное администрирование Linux, понимание сетевых протоколов и потенциальных точек отказа — опыт конфигурации и распределения мощностей видеокарт для обучения и инференса моделей — опыт настройки мониторинга инфраструктуры и метрик деградации моделей — опыт работы с vllm, Triton Inference Server, FastAPI, KServe или TorchServe — опыт построения сложных многоэтапных пайплайнов с упором на безопасность Технологический стек включает Docker, Linux, Kubernetes, Bash, GitLab CI, Ansible, Terraform, Airflow, Python, vllm, cuda, triton, Prometheus/Victoria Metrics, Grafana, SQL, Postgres, Elasticsearch, MLflow, Qdrant, Nexus, Vault.

Работа в гибридном формате: около 1–2 дней в месяц в офисе в Wallingford, Великобритания.

TripleTen is an international platform of digital re-skilling products that helps people from diverse backgrounds learn new professions and build sustainable careers in tech. Languages: English (C1+). Remote work.

TripleTen is an international platform of digital re-skilling products that helps people from diverse backgrounds learn new professions and build sustainable careers in tech. Languages: English (C1+). Remote work.

Buffer is a social media management platform for scheduling, publishing, and analyzing posts across social networks. Remote work. 4-day workweek.

Buffer is a social media management platform for scheduling, publishing, and analyzing posts across social networks. Remote work. 4-day workweek.

Задачи: — Проектировать и строить backend-системы, которые являются чистыми, тестируемыми и эффективными. — Архитектурно создавать масштабируемые API и инфраструктуру, способную обрабатывать высоконадежные и высоконагруженные требования. — Вносить сильные мнения по тестированию, качеству и долгосрочной поддерживаемости в каждый проект. — Решать сложные продуктовые задачи, глубоко анализируя потребности пользователей и поведение системы. — Формировать инженерные практики и техническую культуру через сотрудничество и практическое лидерство. Требования: — Опыт работы backend-инженером от 5 до 7+ лет, предпочтительно 7+ лет. — Владение как минимум одним backend-языком, таким как Node.js/TypeScript, Python, Go или Java; опыт с Node.js и TypeScript является большим плюсом. — Опыт проектирования и архитектуры масштабируемой backend-инфраструктуры для высоконадежных или регулируемых сред, таких как финтех, платежи или идентификация. — Опыт работы с реляционными базами данных (Postgres или MySQL). — Опыт работы с очередями сообщений или событийно-ориентированными архитектурами (RabbitMQ, Kafka или аналогичные); знание паттернов Event Sourcing будет плюсом. — Опыт развертывания и управления приложениями в контейнеризированных или облачных средах (Kubernetes, AWS или аналогичные). — Сильное системное мышление, способность рассуждать о долгосрочных архитектурных последствиях, а не только о отдельных функциях. — Умение ясно коммуницировать, разбирать сложность и тесно сотрудничать с командой. — Комфорт в работе в условиях неопределенности и на ранних этапах развития, где практики активно формируются. — Обязательное проживание в европейском часовом поясе. Условия: — Полностью удаленная работа с обязательным нахождением в европейском часовом поясе. — Команда собирается лично периодически в течение года. — Базовая годовая зарплата от 116000 до 146000 евро, без индивидуальных переговоров по зарплате. — Визовая поддержка не предоставляется.

Location: Poland Workplace: Remote HI THERE!👋🏻 WE’RE TOOPLOOX 💎, A SOLVD INC. COMPANY We create AI-powered products and services that make a real difference. Our team of nearly 200 specialists - including a 40+ person R&D team with many PhDs - has pioneered AI solutions across industries from healthcare to e-commerce. We’ve published research in top-tier venues like NeurIPS and ICML, while delivering real-world applications that help our clients innovate and scale.   WHAT YOU WILL DO: - Collaborate with cross-functional teams to design and build AI Agentic solutions. - Contribute to defining technical requirements and implementing features across the software lifecycle - from proof of concept through implementation to evaluation and production. - Take ownership of assigned tasks and deliver high-quality, maintainable code. - Manage backend tasks while contributing to frontend development. - Stay informed about trends and advancements in AI and related fields, continuously learning and integrating new knowledge. - Employ a pragmatic, evaluation-driven approach to adopting innovative AI solutions.   EXPERIENCE AND SKILLS YOU NEED TO JOIN US: - Experience in full-stack development using mainly NodeJS (with TypeScript). - At least 1 year of experience in AI Engineering role. - Versatile in technology use, comfortable working across backend and frontend tasks. - Track record in staying current with AI and Agentic technologies, including best practices and architecture. - Openness to client collaboration, fostering clear communication and effective partnership. - Strong commitment to learning new technologies and swiftly adapting to new products and APIs. - Understanding of Retrieval-Augmented Generation (RAG) and its applications. - Familiarity with Multi-Agents concept, tools usage and MCP Servers. - Hands-on experience with LLM APIs/SDKs (e.g., OpenAI, Anthropic). - Knowledge of LLM orchestration and frameworks like Langchain or LlamaIndex, with practical implementation experience. - Understanding of prompt design principles and an ability to create effective prompts. - Experience configuring services on cloud platforms (e.g. AWS, Azure, GCP). - Basic experience with CI/CD pipelines and DevOps best practices. - Competence in REST API usage and efficient database integration. - Fluency in English language.   IT WOULD BE GREAT IF YOU ALSO HAVE: - Basic knowledge of machine learning principles. - Understanding Python source code. - Experience with React. - Experience with model fine-tuning and distillation. - Familiarity with LLM evaluation. - Experience with Model Context Protocol (MCP). - Experience with graph databases. - Familiarity with other programming languages and frameworks. - Familiarity with Voice Agents concepts and related frameworks e.g. Pipecat HOW WE WORK: At Tooploox 💎, you have the flexibility to choose your working hours ⏰ and location 📍. While we value remote work, we also believe in building relationships 🤝and invite you to join us in our Warsaw and Wrocław offices 🏢. Enjoy a relaxed atmosphere 🍃 and try some “home-made” pizza 🍕 from our office pizza oven. We love having pets 🐶 in the office, so feel free to bring yours along.😁 Join us and shape the future of AI while working the way you like!

Location: United Kingdom (Hybrid); United Kingdom (Remote); Spain; Netherlands Workplace: Hybrid Most money apps talk at you. Cleo talks back ✨ We're not building another finance app. We're building the world's first AI financial assistant, one that actually understands your money and makes you better at it, and we're changing the world's relationship with money in the process 💰 For everyone, whatever their background or balance. The proof: profitable, fast-growing, a unicorn with over $300M in ARR, and millions of people who now feel differently about their money. We love original thinkers who challenge the status quo. We move fast, tell the truth, and there's nowhere to hide from good work here. If that excites you more than it scares you, you'll fit right in. Follow us on LinkedIn https://www.linkedin.com/company/cleo-ai/ for new features and the occasional roast 🔥 MEET THE TEAM 👥 Here at Cleo, we have ~45 ML engineers ✨ They are the builders behind the AI that powers our product. They design experiments, create models that personalise financial insights, deploy fraud detection systems and scale our conversational AI, making sure that what we build genuinely helps people feel better about their money. From shaping product features and building the models that personalise our users' money journeys, to tackling fraud, scaling our systems and giving leaders the insights they need, our data team is at the heart of it all. ABOUT THE ROLE ✍️ We're hiring an ML Engineering Manager to join the existing data science function at Cleo - a collaborative team of ML engineers, analysts, and data engineers - to build and deploy production models that go directly into the product. You'll lead the ML workstream behind our Financial Assistant feature, shaping how Cleo uses LLMs to have more engaging, accurate, and personalised conversations about money. This is a people management role: you'll manage the ML engineers across your squads, own the headcount plan, and be responsible for hiring and team development in your area. - Understand the core problems faced by the Financial Assistant team and coordinate the ML function's contribution to solving them - Find opportunities for model and product improvements in Cleo's extensive customer behaviour datasets - Manage the ML engineers in your squads - coaching and developing them to deliver on the roadmap - Build out the headcount plan and own hiring and team development within your area to support growth WHAT WE'RE LOOKING FOR 🕵️ - Extensive experience building and deploying machine learning models to production - Experience managing and developing high-performing teams of data scientists and ML engineers - A habit of keeping abreast of the latest research and experimenting productively with new technologies, including LLMs and LLM agent design - Experience owning an ML roadmap, driving new ideas through to business impact - Ability to write production-quality Python code, with a willingness to stay somewhat hands-on - Nice to have: domain knowledge of NLP, including evaluating LLM systems and fine-tuning LLMs or other transformer models - Nice to have: a strong ability to communicate findings to non-technical stakeholders concisely and engagingly - Nice to have: experience with containers and container orchestration - Kubernetes, Docker, and/or Mesos - Nice to have: experience using vector databases such as OpenSearch WHAT WE OFFER We offer benefits package built to support you in and out of work. Benefits vary by country 🌍 and include meaningful equity, comprehensive health insurance, mental health support, a paid one-month sabbatical after four years, a learning & development platform, pension or retirement contributions, and location-specific leave entitlements. For the full breakdown on what's available in your location, visit our Candidate Hub https://meetcleo.notion.site/Cleo-Candidate-Hub-3b95c63b874580e9a068fdc6c8929ebf 👈 WHAT MATTERS Cleo's mission is to change the world's relationship with money. We can't do that without building a brilliant, genuinely diverse team - and making sure our hiring process gives everyone a fair shot, running a fair and transparent recruitment process in which every candidate is considered on their merits. We're glad to make reasonable adjustments at any stage of the process. If there's anything we can do to support you in showing us your best, please let your recruiter or one of the team know. We may use AI-assisted tools during the recruitment process to take support the team in different ways like taking notes or referring back to conversations. They do not replace the team and all applications are reviewed by a Cleo employee thoroughly!

Location: Espoo Workplace: OnSite Role highlights: - Location: Espoo, Finland - Department: Global Manufacturing Organization (GMO) - Reports to: Senior Smart Manufacturing Engineer - Employment type: Permanent - Workplace model: Office - Employment is subject to applicable security screening (incl. SUPO) Why this role matters: As a Smart Manufacturing Engineer, Mechanical, you will play a key role in how ICEYE builds satellites at scale. You will design and own critical mechanical and electromechanical systems from Mechanical Ground Support Equipment (MGSE) to production test jigs that keep our production lines safe, efficient and reliable. Working in a multi‑disciplinary Smart Manufacturing Engineering team, you’ll set standards, work directly with others, and help us anticipate and remove bottlenecks as we continue to scale our operations. Who We Are ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. Your day-to-day responsibilities - Design, implement and own Mechanical Ground Support Equipment (MGSE) and other mechanical / electromechanical systems used in satellite production and integration. - Develop production test jigs and verification systems (e.g. fixtures, subsystem assembly jigs, custom rigs) in close collaboration with electronics and software engineers. - Take designs from concept through detailed CAD, documentation, manufacturing support and commissioning on the production floor. - Define and improve standards, frameworks and documentation practices for mechanical and mechatronic designs within Smart Manufacturing Engineering. - Proactively identify current and future bottlenecks in production processes and propose data‑driven mitigation plans. - Collaborate closely with Production, AIT Engineering and other Engineering teams to ensure systems are robust, maintainable and aligned with operational needs. - Contribute to roadmaps and prioritization for production systems, helping the team focus on the highest‑impact projects. What we’re looking for Must haves: - 6–8+ years of experience in mechanical or electromechanical engineering, focused on production systems, test equipment, or similar. - Proven track record designing and delivering mechanical / support equipment such as MGSE, lifting systems, dollies or fixtures for large, high‑value hardware. - Hands‑on experience designing and implementing production test jigs or verification systems (e.g. fixtures for electronics testing, flying probe interfaces, custom test rigs). - Solid understanding of how mechanics, electronics and software/controls fit together and comfortable collaborating closely with electronics and software engineers. - Strong CAD skills and experience taking designs from concept through detailed design, manufacturing and on‑site commissioning. - Experience in at least one high‑reliability or complex production domain (e.g. space, aerospace, automotive, robotics, industrial automation). - Demonstrated seniority: leading projects, taking end‑to‑end ownership and mentoring junior engineers. - Willingness and ability to work onsite in Espoo in production and integration environments. Nice to haves - Experience with satellite or spacecraft integration and MGSE. - Experience working across multiple production sites or in a global manufacturing context. - Knowledge of lean manufacturing and/or Six Sigma tools and practices. - Experience introducing or improving design frameworks, templates and documentation standards in an engineering organization. Application Process - TA screen - Hiring manager interview - Technical interview + task - Final onsite interviews WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority—with continuous professional development, training opportunities, and a culture where collaboration is how we win. How We Work (Our Values) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing—at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.