Python AI Engineer

AI Engineer – Tech Modernisation Framework (Python / Platform Automation)

Location : Gdynia - 3 days at the office

Role Summary

We are looking for an engineer to join the team building a Tech Modernisation Framework: an AI-driven solution that analyses legacy code repositories and rewrites them onto modern, platform-approved technology stacks.

You will design and improve the agent workflows, prompts and tooling behind these migrations, and connect them to the CI/CD and deployment platform (Tekton, ArgoCD, Ansible).

The role combines software engineering, platform automation and applied AI.

You will work hands-on with agentic coding tools such as Claude Code and the Maister project, using Anthropic and other LLM providers. The framework is deliberately vendor-agnostic, so we value an understanding of the underlying concepts over experience with a single product. You will work closely with application teams to turn real migration cases into repeatable, reliable automation.

Must-haves:

• Strong programming skills in Python
• Solid software engineering basics: Git, code review, testing, clean and maintainable code
• Working knowledge of CI/CD concepts and containerised environments (Docker, Kubernetes basics)
• Hands-on experience with, or strong interest in, LLMs and AI-assisted development (prompting, agents, tool use)
• Ability to read and understand code in several languages, including legacy code (e.g. Java)
• Analytical, structured approach to problem-solving; comfortable with ambiguity and experimentation
• Good communication skills in English and a collaborative attitude

Nice-to-haves:

• Experience with Tekton, ArgoCD or other GitOps/pipeline tools
• Ansible or other infrastructure-as-code tools
• Experience with agentic coding tools (Claude Code or similar) and agent frameworks
• Knowledge of LLM evaluation, context engineering or the Model Context Protocol (MCP)
• Background in legacy modernisation, code migration or large-scale refactoring
• Familiarity with Java/Spring, front-end stacks or other target technologies
• Experience working in a regulated or enterprise environment (e.g. banking)