3+ years of experience in applied ML/AI engineering (not purely academic/research). Strong hands-on experience with LLMs in production: prompt engineering, fine-tuning, evaluation, and orchestration (e.g. LangChain, LlamaIndex, or custom pipelines). Experience designing or building agentic systems – multi-step reasoning, tool use, planning, and autonomous task execution. Proficiency in Python; experience with Django or FastAPI is a plus. Practical understanding of RAG architectures, embedding models, and vector databases. Experience building evaluation frameworks and automated testing for AI systems. Familiarity with cloud infrastructure (GCP preferred) and CI/CD pipelines. Strong communicator who can collaborate across engineering, product, and compliance. Comfortable working in a fast-moving startup environment with high autonomy. Based in the UK with the ability to work from the London office 3 days per week.