London, United Kingdom | Posted on 07/28/2026
We are seeking a highly skilled Software Engineer withrecentVibe coding experience to lead the design and implementationof intelligent solutions across the Software Development Life Cycle (SDLC),specifically leveraging the GitHub ecosystem. This role is focused onarchitecting and integrating sophisticated AI-driven workflows,including specialized coding agents, custom agents, and comprehensive Skillslibraries, while ensuring all solutions adhere to rigorous engineeringstandards.
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.
· have the candidates operated in large scaleenterprise/industrial SDLC (large enterprises with complex process/tools).Given they need to apply their genAI skills in the context of a transformationfrom old to new…leading/guiding/designing how old style meets new style ofengineering. Often we see inexperienced developers hopping onto Claude to behyper productive but have limited insight how to apply that in the complexenterprise landscape like LBG.
· Feedback for few profiles:
· the first guy xxxxx - very terse, difficult to get coherentresponses, very narrow exposure to SDLC - talked about agile but not theprocess of delivery - not a leader/shaper, a mid to junior level developer withclaude on cv.
· The second guy xxxxxx- had good/relevant experience someyears ago, was better conversatonally, but lacked the kind of sharp/concise andrelevant responses to direct questions about Enterprise SLDC, considerationstowards agentic, etc. No doubt he has a rich career but don't see himfacing into the CTO/CDAO leaders to address a particular complex assertion andvalue proposition. On reading the CV's i did have high hopes for those 2 butunfortunately the interviews lacked substance.
SDLC AI Engineer: AI Agent Architect & CI/CD Orchestrator employer: Test Triangle Limited
Test Triangle Limited is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration in the heart of the United Kingdom. With a strong focus on employee growth, we provide comprehensive training and development opportunities, ensuring our team members are equipped to excel in their roles. Our commitment to regulatory excellence and risk management not only enhances professional skills but also contributes to meaningful outcomes in the financial sector.
