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work Вакансия на FreelanceSpace опубликовано 29.08.2025

Staff AI Engineer (EMEA)

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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
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