Tech Lead with Python AI

Quick Facts

• Role: Tech Lead / Senior Full Stack Engineer with AI engineering exposure
• Focus: AI-powered solutions for wholesale credit and lending technology platforms
• Work model: Remote + 6 times per month work from office in Cracow
• Contract: B2B, long-term
• Budget: 215-220 zł/h

Description

We are looking for an experienced Tech Lead / Senior Full Stack Engineer with strong AI engineering exposure to join a high-performing technology team. The role involves building and implementing AI-powered solutions that elevate wholesale credit and lending technology platforms.

Responsibilities

• Provide technical leadership and guidance to the engineering team
• Remain hands-on with Python Full Stack development
• Design and contribute to scalable, enterprise-grade solutions
• Bring practical experience in building or integrating AI-based capabilities into applications and platforms
• Support architectural and technical decisions across the workstream
• Conduct and oversee high-quality code reviews
• Establish and promote modern engineering standards and development practices
• Work closely with engineering managers, architects, and other technical stakeholders
• Ensure solutions are pragmatic, maintainable, and scalable
• Support the modernisation and decommissioning of legacy platforms
• Contribute to improvements in data quality, traceability, lineage, and governance
• Support the adoption of “golden source” architecture principles

Requirements

• Strong Python Full Stack engineering experience
• Previous experience acting as a Tech Lead, Lead Developer, or technical owner
• Strong database knowledge, particularly PostgreSQL / Postgres
• Hands-on experience developing AI-enabled applications or features
• Understanding of AI/LLM integration into enterprise software
• Strong software architecture and system design capabilities
• Excellent code review skills
• Progressive engineering mindset and knowledge of modern development practices
• Ability to make pragmatic technical decisions in a fast-moving environment
• Experience delivering scalable enterprise applications

Nice to Have

• Quantexa experience
• Claude / LLM ecosystem exposure
• Basic DevOps knowledge
• Experience within banking, lending, or credit risk environments