This is a remote position. Intecfy is partnering with a stealth-mode, VC-backed B2B fintech scale-up on a mission to bring seamless financial services to one billion people through cutting-edge AI. We’re looking for a hands-on AI Engineer who can design and scale LLM-powered agents at lightning speed, while keeping code as clean as a Swiss bank vault. This is a long-term, freelance (B2B) engagement for talent based anywhere in the EU/EEA or the UK (±2 h CET). Responsibilities • Design & refine LLM agents using retrieval-augmented generation (RAG) and advanced data-retrieval pipelines. • Build evaluation frameworks, metrics, benchmarks and automated tests to ensure agent reliability and fairness. • Apply solid NLP fundamentals (tokenisation, embeddings, architecture know-how) and mitigate bias. • Practise prompt engineering (few-shot, role-based, chain-of-thought) with tools like Weave, LangSmith or Laminar. • Juggle token limits, cost and latency without sacrificing structured and high-quality outputs. • Write modular and maintainable Python for data-intensive back-end services and rapid data processing. Requirements • Minimum 5 years experience of Python mastery for high-performance and data-heavy applications. • Proven experience building production LLM agents with RAG. • Deep understanding of AI evaluation methodologies and NLP core concepts. • Strong prompt-engineering chops and a habit of systematic experimentation. • Comfort working autonomously in an async and fully remote environment. Nice to Have • Vector databases (FAISS, Qdrant), MLOps, cloud infra (AWS/GCP/Azure). • Fintech or RegTech exposure. • Contributions to open-source LLM tooling. Benefits • Competitive European day rate and the freedom of true freelancing. • Ownership & autonomy from day one, your impact is immediate and visible. • Annual learning budget for conferences, courses and certifications. • Well-being allowance for gym, sports or that standing desk your back keeps begging for. • Inclusive Environment: we value diverse perspectives and believe in the strength of an inclusive team.