← Back to opportunities
About the Role
Agentic AI Engineering
- Design and build end-to-end agentic AI workflows using Microsoft AI Foundry and Copilot Studio, including multi‑step agent pipelines capable of autonomous decision‑making, tool use, and task delegation.
- Architect and deploy multi‑agent systems using orchestration frameworks such as LangGraph, AutoGen, Semantic Kernel, and CrewAI, evaluating fit‑for‑purpose based on use‑case complexity and enterprise constraints.
- Implement Retrieval‑Augmented Generation (RAG) pipelines incorporating vector databases, semantic search, and knowledge‑graph integrations to ground agent outputs in verified organisational data.
- Develop and maintain a structured prompt library applying advanced prompting techniques—including chain‑of‑thought, few‑shot, self‑reflection, and ReAct patterns—to optimise agent behaviour across diverse business scenarios.
- Build and integrate Model Context Protocol (MCP) servers to enable agents to interact wit...
Ready to Join Through a Referral?
Apply now and get connected directly with the hiring team
Apply for this Position