Key skills
SDLCAIGenAILLMRAGA/B Testing
About this role
Role Overview
- Lead the design and development of services that support AI agent interaction
- Drive the application of GenAI to modernise, refactor, and accelerate legacy systems
- Define and implement APIs, contracts, and metadata aligned with the Model Context Protocol
- Shape and evolve internal tooling that supports AI-native SDLC workflows
- Influence architecture decisions, conduct design and code reviews, and lead incident response
Requirements
- Proven backend development expertise, with experience delivering complex, high-scale systems
- Ability to mentor, guide, and upskill engineers within the team
- Familiarity with or eagerness to advance in: o Model Context Protocol for managing context and tool interfaces for agents o LLM integration patterns including prompt orchestration, multi-agent planning and tool calling o Retrieval-Augmented Generation (RAG) for dynamic context injection o Model selection / A/B testing / observability
Tech Stack
- SDLC
Benefits
- We believe diverse teams make better decisions, and we’re committed to creating an inclusive workplace where everyone feels empowered to grow, contribute, and thrive.