Key skills
PythonLLMClaudeLangChainAgentic
About this role
Role Overview
- Design and build multi-agent orchestration workflows for automated code transformation and modernisation, including migration planning, code changes, feedback loops, and automated MR creation
- Build and use MCP services; design agent tool use patterns locally and via MCP Engineer prompts with precision
- Implement agent guardrails to ensure safe, consistent, and secure LLM input/output behaviour
- Build automated evaluation systems including unit tests for agent outputs and LLM-as-a-judge frameworks to measure and improve accuracy
- Contribute to agentic architecture decisions and toolchain evaluation as the space evolves
- Integrate and leverage Claude Code within the development workflow and within agentic pipelines
Requirements
- Strong Python engineering — production applications, clean architecture, built to scale
- Hands-on experience in prompt engineering
- Experience building agentic and multi-turn chat applications
- Hands-on experience with LLM orchestration frameworks (e.g. Strands, LangChain or equivalent)
- Strong systems design — able to break complex problems into deliverable increments
- Ability to manage large context effectively when working with LLMs
Tech Stack
- Python
Benefits
- family friendly working environment
- flexibility on an individual basis