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Python AI Engineer

Ework GroupGdynia26 дн. назад

Коротко

Designs and improves AI agent workflows and tooling for legacy code migration, connects to CI/CD platform (Tekton, ArgoCD, Ansible), and works with agentic · Needs: Strong Python; Git, code review, testing; CI/CD and Docker/Kubernetes basics; LLM/AI-assisted development experience; ability to read legacy code (e.g., Java)

Описание от работодателя

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. Daily tasks: - Design, build and improve agent workflows, prompts and tooling that automate legacy code migration - Connect the framework to the CI/CD and deployment platform (Tekton, ArgoCD, Ansible) - Work hands-on with agentic coding tools (e.g. Claude Code, Maister) and a range of LLM providers - Collaborate with application teams to turn real migration cases into repeatable, reliable automation - Keep the solution vendor-agnostic and maintainable, applying clean-code and testing practices 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) Must have: AI, Python, Ansible, Git, Docker, Kubernetes, LLM, Legacy Nice to have: GitOps, Banking