Tech Lead with Python AI

Role Overview:

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

Project Details:

• Workload: full-time
• Contract: B2B, long-term
• Working model: Remote+ 6 times per month work from Office in Cracow
• Budget: 215-220 zł/h

Role & 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.

Key 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.