Senior AI Engineer

We are looking for a hands-on Senior AI Engineer with GenAI experience who can move fast, test aggressively and scale what works. You will own the end-to-end solution, work closely with leadership and play a key role in our next phase of growth. Your responsibilities: - Implement agent features and integrations in production codebases – APIs, websockets, tool-calling workflows – following established architecture patterns. - Adapt and integrate pre-trained LLMs and embeddings into applications (prompting, fine-tuning, RAG pipelines) and keep them maintainable. - Build self-verifying agent workflows with chain verifications, evaluator models and human looped escalation paths that make agents trustworthy in enterprise environments. - Create comprehensive agent observability, full audit trails, structured logging, performance metrics – so the team always has clear agent visibility. - Ship autonomous agents making real business decisions with high reliability, optimising the balance between reasoning depth, latency, and cost. - Embed with product teams to evolve agent capabilities based on real usage data, closing the loop between what’s built and what actually works. What we are looking for: - 6 years+ in software engineering with 3+ years in GenAI, building and shipping production systems in enterprise settings. - Strong proficiency in Python with production deployment experience – you write code that other engineers can maintain, test, and extend. - Solid AWS knowledge (CDK, Serverless, Bedrock) with production deployment experience. - Hands-on experience with LLM providers and frameworks: Azure OpenAI, AWS Bedrock, Hugging Face, LangChain/LangGraph. - Deep expertise in agent frameworks combined with the ability to build custom orchestration. - University degree or equivalent experience in Computer Science, Engineering, or a related field. This is a hybrid position which can be based across any large European city.