Optiveum ir personāla atlases un konsultāciju uzņēmums, kas specializējas cilvēkresursu un IT pakalpojumos, balstoties uz vairāk nekā 20 gadu pieredzi šajās jomās. Uzņēmums savieno profesionāļus ar projektu un pastāvīga darba iespējām attālinātā un klātienes darbā, sadarbojoties ar klientiem Polijā un starptautiskajos tirgos. Personāla atlases darbs aptver IT, finanses, grāmatvedību, ražošanu, loģistiku un mārketingu, palīdzot organizācijām atrast talantus un kandidātiem veidot nākamo profesionālās izaugsmes soli.
Senior Python AI Engineer, Legacy Modernization
Build AI agents that modernize legacy code for enterprise and banking clients. Connect migration automation with CI/CD and deployment platforms.
Apraksts
- Create and refine agent workflows, prompts, and tools for automated legacy code migration.
- Integrate the AI framework with CI/CD and deployment platforms such as Tekton, ArgoCD, and Ansible.
- Use agentic coding tools, including Claude Code and Maister, alongside multiple LLM providers.
- Work with application teams to turn real migration projects into dependable, repeatable automation.
- Keep the solution maintainable and vendor-neutral, following clean-code and testing practices.
- Develop a Tech Modernisation Framework to analyze legacy repositories and rewrite code for modern, platform-approved technology stacks.
Prasības
- Bring senior-level Python programming skills.
- Have strong software engineering fundamentals, including Git, code reviews, testing, and clean, maintainable code.
- Understand CI/CD concepts and containerized environments, including Docker and Kubernetes basics.
- Have practical experience with LLMs and AI-assisted development, or a strong technical interest in prompting, agents, and tool use.
- Be able to read and understand code in multiple languages, including legacy languages such as Java.
- Take an analytical, structured approach to problems and be comfortable with ambiguity and experimentation.
- Be fluent in English and collaborative.
- Ideally, have experience with Tekton, ArgoCD, or other GitOps and pipeline tools.
- Ideally, know Ansible or other infrastructure-as-code tools.
- Ideally, have used agentic coding tools such as Claude Code and agent frameworks.
- Ideally, understand LLM evaluation, context engineering, or the Model Context Protocol (MCP).
- Ideally, have a background in legacy modernization, code migration, or large-scale refactoring.
- Ideally, be familiar with Java/Spring, front-end stacks, or other target application technologies.
- Ideally, have worked in a regulated or enterprise setting, such as banking or finance.