AI Engineer

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.

🌟Preferred Qualifications:

• Experience with multimodal models (text, image, video).

• Familiarity with LLMOps/MLOps tooling and evaluation frameworks.

• Experience optimising inference performance and managing AI costs at scale.

• Background in product-led or data-driven organisations.

🌟 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