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.
LLM, Retrieval-Augmented Generation, Prompt Engineering, NLP, Tokenization, Embeddings, Python, LangSmith, Weave, Laminar, Vector Databases, FAISS, Qdrant, AI Evaluation, MLOps, AWS, GCP, Azure
Education
Bachelor's Degree