description
Описание вакансии
TL;DR
Staff AI Engineer (EMEA): Building and optimizing backend systems and APIs supporting AI/ML workloads with an accent on infrastructure, automation, and performance. Focus on operationalizing cutting-edge LLM technologies and collaborating with cross-functional teams.
Location: Remote (EMEA)
Company
Replika is an AI companion loved by 35M+ users around the world.
What you will do
- Build, manage, and optimize backend systems and APIs supporting AI/ML workloads.
- Support and maintain robust data and ML pipelines, ensuring scalability and reliability.
- Develop FastAPI-based microservices leveraging Python async patterns.
- Manage state and flow tracking using Redis and MongoDB, optimizing performance and persistence layers.
- Integrate with LLMs (LLaMA, OpenAI, Anthropic) and support vector database operations (e.g., Pinecone).
- Implement and maintain Docker-based containerized environments for both development and production.
Requirements
- Minimum 5+ years of experience with Python development.
- Experience with Redis (especially asyncio clients) for state tracking and flow control.
- Strong understanding of MongoDB query patterns and schema design.
- Experience working with Large Language Models, including LLaMA (3.x preferred).
- Hands-on with LLM APIs such as OpenAI, Anthropic, etc.
- Experience with vector databases like Pinecone, understanding semantic search and embeddings.
Nice to have
- FastAPI for building async APIs and microservices.
- Familiarity with Scala or willingness to learn it.
- Experience with Kubernetes or other orchestration tools.
- Prior work in AI/ML-focused product teams or research environments.
- Experience in leadership roles such as Team Lead, Engineering Manager, or Staff Engineer
Culture & Benefits
- A chance to build a product that actually matters to millions of people
- Freedom to work remotely with a globally distributed team
- Offsites in different countries with people who actually like each other
- A trustworthy, high-responsibility environment where your ideas really matter
tips_and_updates
Как откликнуться эффективно
- arrow_right1–2 релевантных кейса (ссылки/скриншоты)
- arrow_rightСроки и формат работы (когда на связи)
- arrow_right2–3 уточняющих вопроса по задаче
handshake
Рекомендации работодателю
- arrow_rightОпишите результат и критерии приёмки
- arrow_rightУкажите бюджет/вилку — это повышает качество откликов
- arrow_rightСразу обозначьте сроки и доступность по коммуникациям
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