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