Senior AI Software Engineer

Private medical care Co-financing for the sports card Constant support of dedicated consultant Employee referral program

Daily tasks

• Design and improve AI agent workflows, prompts and tooling for legacy application modernisation
• Develop automation that analyzes legacy code repositories and rewrites applications to approved technology stacks
• Integrate AI-driven migration workflows with CI/CD and deployment platforms including Tekton, ArgoCD and Ansible
• Work with agentic coding tools such as Claude Code and Maister
• Utilize Anthropic and other LLM providers within the modernisation framework
• Collaborate with application teams to transform migration use cases into repeatable automation
• Support development of a vendor-agnostic framework for code migration and modernisation
• Contribute to software engineering, platform automation and applied AI solutions

Requirements

Strong programming skills in Python Solid understanding of software engineering fundamentals including Git, code review, testing and maintainable code practices Working knowledge of CI/CD concepts and containerized environments including Docker and Kubernetes basics Hands-on experience with or strong interest in LLMs, AI-assisted development, prompting, agents and tool use Ability to read, understand and work with code across multiple languages, including legacy code such as Java Strong analytical and structured problem-solving skills with comfort working in ambiguous and experimental environments Good communication skills in English and collaborative mindset Nice to have: Experience with Tekton, ArgoCD or other GitOps and pipeline tools Familiarity with Ansible or other infrastructure-as-code tools Experience using agentic coding tools such as Claude Code or similar solutions and agent frameworks Knowledge of LLM evaluation, context engineering or Model Context Protocol (MCP) Background in legacy modernisation, code migration or large-scale refactoring Familiarity with Java/Spring, front-end technologies or other target technology stacks Experience working in regulated or enterprise environments, including banking

Must have: Python, CI/CD, Docker, Kubernetes, Git, LLM, Java