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.