Microsoft AI CoPilot Developer

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

Do you have experience in Software deployment?, 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