About The Role

We are seeking an experienced Lead AI Engineer to join our team. In this role, you will be responsible for setting the technical direction for your team, leading AI-powered product development, and delivering production-grade code across the full stack. You will also play a crucial role in mentoring and growing engineers, collaborating with platform teams, and ensuring compliance with industry standards.

Key Responsibilities

Technical leadership:  Set the technical direction for your squad, own architectural decisions, manage technical risk, and represent the engineering perspective at our Architecture Review Board.
AI-Powered product development:  Design LLM workflows, RAG pipelines, and agentic features that run on top of our AI platform in production, at scale.
AI Tool adoption:  Drive the adoption of AI coding tools across the full SDLC, from planning and design through code review, testing, deployment, and setting the bar for how the squad works.
Full-Stack development:  Deliver production-grade code across the full stack, including Node.js or Python backends, event-driven AWS architecture, and React where needed.
Mentorship:  Mentor and grow engineers across AI and full-stack domains through code reviews, design documents, and day-to-day pairing.
Collaboration:  Collaborate with platform teams to consume shared capabilities and contribute reusable patterns back, avoiding one-off solutions when a platform component will suffice.
Compliance:  Ensure everything we ship is compliant-by-design, auditable, and built to the standards expected of software in FCA regulated financial services.

Must-have requirements

Proven experience as a Technical Lead / Lead Software Engineer, including leading engineering squads, setting technical direction, mentoring engineers, and making architectural decisions.
Hands-on experience designing and delivering LLM-based solutions in production, including RAG pipelines and agentic AI features.
Proven experience building client-facing GenAI products deployed and operating in production environments.
Deep expertise in Python or Node.js, with solid working knowledge of the other language.
Experience owning architectural decisions, managing technical risk, and representing engineering in architecture or technical governance discussions.
Experience developing cloud-native applications on AWS, including event-driven or serverless architectures.
Strong English and Polish communication skills (B2/C1).

Nice to have requirements

Experience with React and modern frontend development.
Experience with AWS Lambda, event-driven architectures, and cloud-native design patterns.
Knowledge of AI agent frameworks, prompt engineering, and LLM evaluation techniques.
Experience working in regulated industries (FinTech, Banking, Financial Services, Insurance).
Experience designing auditable, secure, and compliant AI solutions.
Experience driving adoption of AI-assisted development tools (e.g., GitHub Copilot, AI coding assistants) across the SDLC.
Experience contributing to platform engineering initiatives and building reusable platform components.
Experience with Architecture Review Boards or similar technical governance processes.

Hybrid work model: 2 days from the office, 3 days of home office.
Office locations:  Warszawa, Lublin, Poznań, Katowice, Łódź, Rzeszów. 
Thank you for your interest in our offer. We will contact selected candidates whose experience best matches the requirements of the role.

Additional Information

We hereby inform you that Inetum Polska sp. z o.o. has implemented an internal reporting (whistleblowing) procedure. The content of the procedure and the possibility to submit an internal report are available at:

https://inetum.whispli.com/speakup?locale=pl