About the project

You will join a team building next-generation AI-powered products based on Large Language Models. The project focuses on transforming LLM prototypes into scalable, secure, and production-grade systems. The role covers the full AI lifecycle – from architecture and backend development to infrastructure, monitoring, and cost optimisation.

Your responsibilities

  • Build and maintain production-grade LLM systems (including RAG, semantic search, embeddings, vector databases).
  • Design and develop APIs and microservices in Python (e.g. FastAPI).
  • Develop and maintain CI/CD pipelines for models (LLMOps/MLOps).
  • Deploy and manage infrastructure in AWS (Lambda, ECS/EKS, S3, API Gateway, CloudWatch).
  • Implement containerisation (Docker) and orchestration (Kubernetes).
  • Monitor model quality (latency, drift, hallucinations, cost efficiency).
  • Collaborate closely with Data Science, ML, Data Engineering and Product teams.

Our requirements

  • Strong Python skills with experience building production APIs.
  • Hands-on experience deploying LLM-based systems in production.
  • Practical knowledge of RAG, embeddings, vector databases, and semantic search.
  • Experience with AWS and scalable backend system design.
  • Solid understanding of Docker, Kubernetes and CI/CD.
  • Proven ability to move from PoC to stable production solutions.

What we offer

  • Opportunity to work on advanced AI systems with real product impact.
  • Strong influence on architecture and technology decisions.
  • Collaboration with an experienced Data & AI team in an international environment.
  • Flexible and remote-friendly working mode
  • Health and wellbeing benefits

 

Apply now