Tech Lead FinTech Reg&Compliance

Technical Lead (Contract) — AI RegTech Location: Europe (Poland preferred) · Engagement: Hour rate (B2B) Longterm Engagement (3m rolling contract) About the client An AI-native RegTech scale-up building a GenAI-powered regulatory change management platform for banks and FinTechs. It turns regulatory publications into structured obligations, assesses impact against internal policies and controls, coordinates remediation, and answers compliance questions through an interactive AI assistant. Explainable AI, tenant isolation and a defensible audit trail are core promises to regulated customers.

The role A hands-on Technical Lead who takes a small team (around six engineers) and gets quality work out the door at pace. Youll own code review and technical direction, becoming the trusted layer between the team and the founder so that when the team says the code is right, it is right. Youre the guardian of engineering correctness and governance-by-design, and youll pair closely with a Product Owner.

What youll do Own code review for the teams pull requests (Node.js and Python, back-end and front-end). Lead a small team hands-on: design the system, write code, review code, ship correct work quickly. Insist on understanding root cause before building and discussing approach before writing code.

Own the AWS foundations (RDS/S3 encryption at rest, logical tenant isolation, Cognito identity) and LLM-integration patterns (OpenAI, Gemini, Anthropic via enterprise APIs, inference-only). Safeguard explainability, tenant isolation and audit-trail integrity; ensure events, obligations and identities are modelled correctly and sensitive data to models is minimised. Raise the teams understanding of the system, the data model and the business; create a step change in delivery speed.

What youll bring Genuinely senior engineer who can hold their own against strong peers and is trusted to get it right (not a mid-level developer). Full-stack, comfortable across back-end and front-end. Solid software-engineering foundations plus real AI competence: custom LLMs, agent building and enterprise LLM-API integration.

Strong AWS (RDS, S3, Cognito) and an instinct for secure, multi-tenant, regulated-workload design (encryption, isolation, role-based access). Data-literate: reads the data, understands it, reaches the right conclusion before acting. Leads by delivery: earns trust by building and getting it right.