AI Engineer

We are looking for an AI Engineer who can turn priority use cases into working, evaluable agents. You will design context, tools, prompts, retrieval flows, agent loops, and evaluation bundles, and contribute to reusable agentic patterns that let us scale safely across Fast Track innovation and Production-grade delivery. This is a hands-on builder role for someone who pairs strong software engineering with practical LLM and agentic AI delivery. • Strong software engineering background in Python and/or C#, with experience building production-grade APIs, services, or cloud-native applications. • Hands-on experience with LLMs, agent frameworks, and agentic design patterns such as Semantic Kernel, Microsoft Agent Framework / AutoGen, LangGraph, or comparable frameworks. • Practical experience with RAG, vector search, prompt/context engineering, system prompt design, tool calling, and model evaluation. • Ability to build and maintain evaluation sets, regression tests, and acceptance criteria for agent behaviour, reliability, and safety. • Experience integrating APIs, data sources, and tools into AI workflows; comfortable debugging across application, data, and model layers. • Understanding of cloud-native delivery, observability, CI/CD, secrets management, telemetry, and secure software development practices. • Strong communication skills with the ability to explain technical trade-offs to product, business, governance, and leadership stakeholders.