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. The role involves building and implementing AI-powered solutions that elevate 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 modernization 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.