Microsoft AI CoPilot Developer

WHAT YOU’LL DO

• Design, develop, and maintain Copilot agents, plugins, connectors, and LLM workflows in Copilot Studio

Build scalable components

prompt orchestration, retrieval layers, Power Automate flows, model interfaces, validation pipelines

• Develop and optimise RAG components — embeddings, vector queries, metadata strategies for accuracy and reliability
• Integrate AI agents with enterprise systems via Microsoft Graph, APIs, and Power Platform connectors

Implement secure-by-design and responsible AI practices

guardrails, controls, monitoring, auditability

Build observability

logging, telemetry, and LLM monitoring for quality and incident triage

• Create reusable assets — prompt libraries, agent templates, connectors, test harnesses, and documentation
• Conduct rapid prototyping to validate feasibility, model behaviour, UX, and performance
• Enable pro-/low-/no-code teams to adopt AI safely — support the satellite model across business functions

Requirements

MUST-HAVES

• Hands-on experience building solutions with LLMs, AI APIs, Copilot Studio, or agent frameworks
• Strong understanding of RAG architectures, vector databases, embeddings, and retrieval optimisation
• Experience with Microsoft Azure AI services, cloud-native engineering, and secure deployment patterns

Experience with agent engineering

orchestration, lifecycle management, versioning, drift detection

• Secure-by-design mindset — authentication, authorisation, data protection, auditability
• Familiarity with DevOps, CI/CD, IaC, observability, and modern engineering pipelines
• Ability to debug unexpected AI behaviour — hallucinations, variability, reliability issues
• Strong documentation skills and ability to produce reusable code assets and templates