Вакансии

🔎 Maqsad: Shogird kopaytirish va ular bilan ishlash.

Задачи: — Разработка ИИ‑агентов и мультиагентной платформы: логика, взаимодействие и оркестрация. — Интеграция с LLM: подключение моделей, промпты и обработка ответов. — Разработка REST API для интеграции с системами и микросервисами. — Работа с БД: оптимизация SQL, миграции, индексирование и кеширование. — Асинхронная обработка: обработчики событий и очереди сообщений. — Развёртывание и CI/CD: Docker, Kubernetes, создание pipeline. Требования: — Коммерческий опыт разработки на Python (3.9+) от 4 лет. — Опыт создания ИИ‑агентов (LangChain, LangGraph, CrewAI). — Опыт работы в финансовом, корпоративном или высоконагруженном проекте. — Асинхронное программирование; asyncio, aiohttp. — Разработка REST API и микросервисов; FastAPI, Pydantic, Django, Flask. — Контейнеризация и работа с БД: Docker, основы Kubernetes, PostgreSQL, Redis, MongoDB. Будет плюсом: — Опыт создания и внедрения мультиагентных систем. — Работа с локальными LLM: Llama, Qwen, DeepSeek R1, Ollama, vLLM. — Fine‑Tuning моделей и опыт MLOps/DevOps. — Kafka, RabbitMQ, продвинутый SQL и оптимизация, GPU‑расчёты. Условия: — Конкурентная и прозрачная з/плата; обсуждается на собеседовании + квартальная премия. — Полная удалёнка или гибрид; офисы/ИТ‑хабы в нескольких городах. — ДМС с первого дня (включая стоматологию), страхование и компенсация больничных. — Поддержка обучения: конференции, курсы, внутренние тренинги и демо‑дни. — Оплата посещения профильных конференций и доступ к корпоративным библиотекам.

Задачи: — Разработка ИИ агентов и мультиагентной платформы, включая логику агентов, взаимодействие и оркестрацию — Интеграция с LLM: подключение моделей, создание промптов, обработка ответов — Разработка REST API для интеграции с системами и микросервисами — Работа с базами данных: оптимизация SQL-запросов, миграции, индексирование, кеширование — Асинхронная обработка событий и очередей сообщений — Обработка документов: парсинг, валидация, работа с разнородными данными — Обеспечение безопасности: шифрование, валидация входных данных, информационная безопасность — Развёртывание с использованием Docker, Kubernetes и CI/CD pipeline — Тестирование: написание unit и интеграционных тестов, покрытие кода — Оптимизация кода и запросов, работа с кешем — Документирование кода и архитектуры: docstrings, README, документация API Требования: — Опыт коммерческой разработки на Python (версии 3.9 и выше) не менее 4 лет — Опыт создания ИИ агентов, включая работу с LangChain, LangGraph, CrewAI — Опыт работы в финансовых, корпоративных или высоконагруженных проектах — Знание асинхронного программирования и разработки REST API и микросервисов с использованием asyncio, aiohttp, FastAPI, Pydantic, Django, Flask — Опыт контейнеризации с Docker и базовые знания Kubernetes — Опыт работы с PostgreSQL, Redis, MongoDB — Будет преимуществом опыт создания мультиагентных систем, работы с локальными LLM (Llama, Qwen, DeepSeek R1, Ollama, vLLM), Fine-Tuning моделей, работы с Kafka, RabbitMQ, продвинутый SQL, оптимизация, GPU-вычисления и DevOps/MLOps Условия: — Стабильный и прозрачный доход с обсуждением размера заработной платы по итогам собеседования и квартальной премией по результатам KPI — Возможность выбора между полностью удалённой работой или гибридным форматом с офисами в Москве, Санкт-Петербурге, Екатеринбурге и сезонным коворкингом в Сочи — Работа с современным стеком технологий и сложными задачами — Программа ДМС с первого дня работы, включая стоматологию, обслуживание в лучших клиниках, страхование и компенсацию 10 дней больничного — Возможности карьерного роста через тренинги, вебинары, митапы и демо-дни — Оплата посещения профильных конференций и курсов, помощь в подготовке к публичным выступлениям и написании статей — Доступ к бесплатным корпоративным библиотекам Alpina Digital, MyBook и бизнес-изданиям — Дополнительные предложения для сотрудников банка: спортзалы в нескольких городах, скидки на услуги туристических агентств, продукты питания, рестораны, бары и магазины

💎 SR ищет Backend Developer, для которого Claude Code — основная рабочая среда: он быстро строит с AI, но проверяет и отвечает за последствия AI-кодинга.

-Проектирование и разработка backend-сервисов для платформы «Акрон Тур»: поиск туров, бронирование, расчёт стоимости, личные кабинеты путешественников и агентств, согласование командировок.

We are looking for a strong, hands-on Senior AI Engineer who can design, build and scale production AI system to join an exciting project for a leading Israeli startup operating in stealth mode. You will take ownership of AI architecture, develop multi-agent workflows, work with large datasets, and build reliable, scalable AI applications.

- Develop and maintain the API for a customer-facing financial data collection product. - Manage AI agents (Claude Code, Codex): write prompts, review agent output, keep instructions up to date.

We are looking for an experienced Senior Python Backend Engineer to join our team and contribute to the development of scalable, production-grade backend solutions powered by modern Python and Generative AI technologies. — Build and maintain RESTful APIs, data schemas, and integrations with external services, knowledge sources, and AI components.

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 As a Applied AI, Frontier Engineering, Staff, you will build the systems behind some of the hardest problems Mistral takes on. You join our team of engineers in Applied AI. We gravitate towards hard problems, decide how to solve them, and ship fast. You work closely with our customer-facing teams, and what works goes into production with our customers and across the company. When a project needs it, you work directly on customer engagements. We're looking for a strong software engineer who has shipped agentic or GenAI systems to production. You've felt the pain of agents that work in the demo and fall apart on real tasks: tool calls that fail silently, loops that never end, and quality that drifts after launch. That production depth is your edge. You build across the stack, and you'd rather ship a plain UI on a solid foundation than a polished UI on a fragile one. You think like a founder. You start from the customer's problem, not the technology. You measure success by the value you deliver, and you care about building experiences people love to use. You like working at the edge of what AI can do today, and you push past it. Your scope is end to end, from first prototype to production. You help set the standard for how the team builds agents that are reliable, observable, and safe to run against sensitive systems. Security is a big part of where we're heading. If you're drawn to it, that's a strong plus. You might come from security with a real interest in AI engineering, or from AI engineering with a real interest in security. Both paths fit. Curiosity about how systems break, and a habit of learning fast from the people who know the domain, matter. Experience at a security company counts too. WHAT YOU WILL DO - Build AI systems end to end, from first prototype to production. - Design the agent architecture: orchestration, tool use, memory, retrieval, and the interfaces between agents and the systems they act on. - Build across the stack, from backend services and APIs to the interfaces people use to work with agents. - Turn what works for one customer into patterns and platforms that work across many, without rebuilding each time. - Make systems hold up under real load: throughput, latency, cost, and failure recovery are part of the design from the start. - Build security into agents from day one: permissions, sandboxing, prompt-injection defenses, and audit trails for agents that touch sensitive systems. - Build the evaluation loop: task-level evals, tracing, and checks that catch agent failures and quality drift before customers do. - Work with researchers, engineers, and customer-facing teams to turn hard problems into systems people rely on. WHAT WE'RE LOOKING FOR - You have 5+ years building production software, with at least one agentic or GenAI system shipped to production that you ran after launch. - You have full ability to ship across the stack: proficient NodeJS e.g. NextJS/Express/Fastify or similar or Python e.g. FastAPI. You are confident with TypeScript + React/NextJS or similar. Solid beats polished. - You have hands-on depth in agent design: orchestration, tool use, retrieval, evaluation, and the ways agents fail in the real world. - You work autonomously: you find the problem, decide the approach, and own the outcome. - You communicate clearly with technical and non-technical audiences, and are fluent in English. - You ship in increments and are obsessed with time to value - You have product judgment: you learn what users need through customer-facing teams, cut scope hard, and care how the result feels to use. IDEALLY YOU HAVE - Open-source contributions, particularly in agents or LLMs. - Experience deploying and running what you build: Docker, Kubernetes, Terraform, and AWS, GCP, or Azure. - A security background in application, cloud, or AI security, such as prompt injection, securing agents, or supply chain (SBOM, SLSA). If that's you, flag it in your application. - Experience building for security workflows, such as alert triage, threat hunting, or investigation agents, or with SIEM, XDR, or SOAR tooling. 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. 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; London Workplace: Hybrid 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 As a Applied AI, Frontier Data Engineering, Staff, you will build the systems behind some of the hardest problems Mistral takes on. You join our team of engineers in Applied AI. We gravitate towards hard problems, decide how to solve them, and ship fast. You work closely with our customer-facing teams, and what works goes into production with our customers and across the company. When a project needs it, you work directly on customer engagements. We're looking for a strong software engineer who builds end to end and has shipped ML or GenAI systems to production. You've felt the pain of models that pass every eval and fail on real data, and of quality that drifts after launch. You've also felt the data engineering pain: pipelines that break silently, schemas that change under you, and backfills that take a weekend. Data engineering is your edge. You turn messy, large-scale data into systems that hold up. You think like a founder. You start from the customer's problem, not the technology. You measure success by the value you deliver, and you care about building experiences people love to use. You like working at the edge of what AI can do today, and you push past it. Your scope is end to end, from first prototype to production. Your depth in data architecture helps set the standard for how the team designs and delivers systems. You know lakehouse and data mesh patterns well enough to know when they fit and when they're overkill. You've designed ontologies and data models, and you know that getting them right is as much art as science. WHAT YOU WILL DO - Build AI systems end to end, from first prototype to production. - Design the data architecture underneath them: ingestion, processing, storage, and the data models and ontologies that make messy data usable. - Build distributed pipelines that process large volumes of documents, code, logs, and multimodal content for retrieval, agentic workflows, and fine-tuning. - Turn what works for one customer into patterns and platforms that work across many, without rebuilding each time. - Make systems hold up under real load: throughput, latency, cost, and failure recovery are part of the design from the start. - Build data governance into the systems themselves: ownership, access control, lineage, retention, and privacy for sensitive enterprise data. - Build the evaluation loop: labeling with LLMs and humans, versioned eval datasets, and checks that catch quality drift before customers do. - Set the standard for how the team designs and ships data systems. - Work with researchers, engineers, and customer-facing teams to turn hard problems into systems people rely on. WHAT WE'RE LOOKING FOR - You have full ability to ship across the stack: proficient NodeJS e.g. NextJS/Express/Fastify or similar or Python e.g. FastAPI. You are confident with TypeScript + React/NextJS or similar. Solid beats polished. - You have 5+ years of experience building and running production data-intensive pipelines with distributed processing (for example Spark, Ray, Beam, or Dask) and orchestration tools (for example Airflow, Dagster, or Prefect) with structured and unstructured data. - You have experience with retrieval-augmented generation, agentic use cases, or LLM evaluation, and a clear view of how data quality drives model quality. - You work autonomously: you find the problem, decide the approach, and own the outcome. - You communicate clearly with technical and non-technical audiences, and are fluent in English. - You ship in increments, are obsessed with time to value and are comfortable making and articulating product-technical tradeoffs. IDEALLY YOU HAVE - A passion for graph-based systems (e.g. Neo4j) and ontology design - Hands-on experience building data pipelines for LLM training, fine-tuning, or evaluation, and contributions to open-source projects, particularly in data or LLMs. - Hands-on experience with data governance and privacy requirements (for example GDPR), secure data handling, CI/CD and infrastructure as code, or an affinity for security engineering. 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. 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.

– Опыт работы Python-разработчиком от 4 лет (Flask или FastAPI).

Location: Remote - Europe Time Zones; Portugal; Spain Workplace: Remote SplitMetrics is a global software company offering an ecosystem of products and services that serve as a growth engine for top mobile-first businesses worldwide. Our ecosystem includes: - SplitMetrics Acquire, a platform for automating and optimizing Apple Ads.  - SplitMetrics Agency, a full-service mobile marketing agency staffed by top experts. - SplitMetrics Optimize, an A/B testing platform recognized as the ASO Tool of the Year. - App Radar by SplitMetrics: an ASO platform with advanced keyword and competitor insights. WHY SPLITMETRICS?  - For over 11 years, we’ve been at the forefront of the mobile marketing industry, building an ecosystem of market-leading technologies. - An Apple Ads Partner, SplitMetrics is the 1st company to build the Apple Ads management platform.  - Working with top mobile companies and brands globally: Skyscanner, Glovo, Flo, Babbel, Wooga and many more. - Generating an impressive transaction volume, with over $1 billion in ad spend flowing through our ecosystem. - Integrated AI into our strategic approach since 2023. - Effectively collaborate across 20+ countries with a remote-first and supportive culture. We’re looking for a Senior Backend Engineer (Python) who will join our team. What will you do: - Design and build backend services in Python (FastAPI) - Implement async job execution and status tracking (Redis/Celery/Kafka) - Integrate with LLM services (internal & external) - Build and maintain external MCP servers that expose our platform to third-party AI agents and clients - Develop ETL pipelines and ensure data quality across ingestion, transformation, and storage - Ensure stability, observability, and cost-efficient inference About you: - 5+ years Python backend experience - Strong FastAPI experience - Solid PostgreSQL + S3 (or equivalents) - Experience with async task queues (Celery, Redis, Kafka) - Production experience integrating with microservices: long-running jobs, retries, failure handling - Solid hands-on experience with agentic AI: building MCP servers, implementing agents, and working with various LLMs and other generative models - Genuine enthusiasm for agentic AI and keeping up with how the field evolves - Basic observability skills (logging, monitoring, alerting) - Experience in cross-functional teams (frontend, ML) - Experience with AWS infrastructure, Docker, Kubernetes It would be great if you have: - Familiarity with LangChain or agentic workflows - Marketing technology background (ad platforms, creative tools) - Experience with StarRocks (or other OLAP databases, ex. Clickhouse)   WHAT IS THERE FOR YOU? - Time Off: Vacation and public holidays following your country's regulations. Additional PTOs annually for personal rejuvenation. - Health and Wellness: Medical insurance or health care compensation. Paid sick leave to prioritize your well-being. - Professional Development: Top online/offline conferences and mobile industry events. Internal courses for continuous professional development. - Performance and Growth: Micro-management-free and supportive management style. Semi-annual performance review sessions. New career opportunities through our internal mobility program. - Team Engagement: Corporate online events and offline team retreats. Collaboration between teams through shared OKRs. Environment conducive to open dialogue and constructive feedback. - Work Flexibility: Flexible working schedule for a better work-life balance. Remote-first working environment. - Workspace Options: Coworking costs coverage program. Office hubs in key locations for a convenient and productive work environment. OUR CULTURE At SplitMetrics, our values are not just words — they guide everything we do. To achieve our ambitious goals and maintain success, we stand united by our core behaviors: - Move Fast - Get Sh*t Done - Build Together - Strive for Transparency - Own What You Do - Learn + Share = Excel Remote Hiring Guidelines: At SplitMetrics, we welcome team members from various countries. While all our roles are remote, certain positions may have specific eligibility requirements based on location. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.

самостоятельной разработкой функционала платформы на Python; тестированием нового функционала;

Проектировать и разрабатывать пайплайны загрузки данных. Делать это оптимально в зависимости от потребностей команд потребителей;

Какие задачи вас ждут: Разработка REST API для мобильного приложения и админ панели Разработка микросервисов Проектирование масштабируемой архитектуры.

-Разрабатывать и поддерживать backend-сервисы на Python под руководством опытных разработчиков.

Нужен конструктор магазинов в Telegram: лендинг, бот, Mini App и админка.

Задачи: — создавать новые сервисы музыкальных рекомендаций, проектировать их архитектуру и ускорять существующие Требования: — опыт работы с Python от 3 лет — опыт работы с FastAPI — опыт работы с PostgreSQL — опыт работы с нагруженными приложениями — знание GraphQL, Kafka, Airflow и ClickHouse будет преимуществом Holyweb — сервисная IT-компания, разработчик подключится к одному из её проектов.