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.