London, United Kingdom
Key Responsibilities:
- AIAgent Engineering & Tuning:Architect and maintain advancedAI agents for coding and automation within GitHub workflows. Thisincludes the active building, performance tuning, and refinementofagentic logic to ensure optimal performance.
- Evaluation& Quality Assurance:Implement robust evaluationframeworksto ensure that all AI-driven solutions meetestablished technical standards and best practicesbeforedeployment.
- Standardisation(Prompt Ops):Develop and govern prompt libraries,instruction sets, and organizational standards to ensure consistency andreliability in AI usage across all engineering teams.
- SystemOrchestration:Integrate AI solutions seamlessly with CI/CDpipelinesand Model Context Protocol (MCP) serverstocreate automated, end-to-end development cycles.
- StrategicCollaboration:Partner with cross-functional engineering teams toembed AI-driven processesdirectly into core SDLCmethodologies.
Technical Requirements:
- ProgrammingProficiency:Advanced expertise in Pythonor TypeScript.Professional experience with Rust, Golang, or Javais highlydesirable.
- EcosystemExpertise:Deep knowledge of the GitHub stack, Claude Code orCodex,including hands-on experience with CI/CD integrationandcomplex automation tools.
- ArchitecturalInsight:A comprehensive understanding of AI frameworksand agent-based architectures, moving beyond simple prompts tomulti-step agentic workflows.
- EngineeringStandards:The ability to write clear, reusable prompts andSkills while maintaining the highest coding standardsanddocumentation.
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