Lead AI Engineer

Inetum Polska; Poland; On-site; PLN 240,000 - 420,000; Full time

Job summary

Inetum Polska is seeking an experienced Lead AI Engineer to set technical direction for the squad, lead AI-powered product development, and deliver production-grade code across the full stack in a regulatory environment.

You will mentor engineers, collaborate with platform teams, and ensure compliance-by-design for FCA-regulated financial services, shaping scalable LLM workflows and reusable patterns.

Qualifications

• Experience leading AI-driven product development.
• Strong background in full-stack software development.
• Excellent mentorship and team leadership skills.
• FCA regulatory awareness and compliant software practices.

Responsibilities

• Provide technical leadership and own architectural decisions.
• Lead AI-powered product development and scalable LLM workflows.
• Drive adoption of AI tooling across the SDLC.
• Deliver production-grade code across Node.js, Python, and AWS.
• Mentor engineers through code reviews and design docs.
• Collaborate with platform teams to reuse capabilities.
• Ensure compliance-by-design and auditable software standards.

Skills

Technical leadership

AI systems design

Full-stack development

Mentoring

Cross-team collaboration

Tools

Node.js

Python

AWS

React

Job description

Job Description

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.