Copilot AI Engineer

Role overview

Responsibilities

• check_circle Design, develop, and deploy AI-powered applications and agentic solutions using Microsoft AI technologies.
• check_circle Build intelligent agents, copilots, and workflow automation solutions using Microsoft Copilot Studio, Microsoft 365 Copilot, Azure AI Foundry, and related services.
• check_circle Develop APIs, integrations, and backend services using Python and modern application frameworks.
• check_circle Create proof of concepts and prototypes to demonstrate emerging AI capabilities and business value.
• check_circle Implement prompt engineering, orchestration, grounding, and retrieval techniques to improve AI performance and reliability.
• check_circle Build and optimise Retrieval-Augmented Generation (RAG) solutions and knowledge retrieval experiences.
• check_circle Contribute to AI solution architecture, technical design, development, testing, deployment, and documentation.
• check_circle Participate in client workshops, discovery sessions, demonstrations, and technical discussions with both business and technical stakeholders.
• check_circle Apply Responsible AI principles, governance controls, and evaluation frameworks throughout the AI development lifecycle.
• check_circle Collaborate with architects, engineers, consultants, analysts, and client teams within agile delivery environments.
• check_circle Stay current with emerging AI technologies, tools, frameworks, and industry trends, sharing knowledge across the wider practice.
• check_circle Strong software engineering experience with proficiency in Python.
• check_circle Experience building APIs using frameworks such as FastAPI, Flask, or Django.
• check_circle Knowledge of containerisation technologies such as Docker.
• check_circle Hands-on experience with Large Language Models (LLMs), including OpenAI GPT models, Claude, Gemini, Llama, Mistral, or similar.
• check_circle Experience applying prompt engineering techniques to improve model performance and user experience.
• check_circle Understanding of AI solution evaluation, testing frameworks, and Responsible AI practices.
• check_circle Familiarity with Microsoft's AI ecosystem, including Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry, Azure OpenAI, Power Automate, and related services.
• check_circle Strong understanding of software engineering principles, design patterns, security, and development best practices.
• check_circle Experience working in agile teams and collaborating across multiple disciplines.
• check_circle Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
• check_circle Ability to engage directly with clients and understand business requirements.
• check_circle Vector databases and semantic search technologies.
• check_circle Retrieval-Augmented Generation (RAG) architectures and enterprise knowledge systems.
• check_circle AI orchestration frameworks such as Semantic Kernel, LangChain, LangGraph, AutoGen, PromptFlow, Microsoft Agent Framework, or comparable technologies.
• check_circle Agent communication standards and protocols such as Model Context Protocol (MCP) and Agent-to-Agent (A2A).
• check_circle AI workflow automation platforms such as Power Automate, n8n, OpenAI Agent Builder, or similar tools.
• check_circle Git-based development workflows and CI/CD pipelines.
• check_circle Azure cloud services and modern application deployment practices.
• check_circle Experience using AI coding assistants and developer productivity tools.
• check_circle Azure AI Fundamentals (AI-900) or Azure AI Engineer Associate (AI-102) certification.
• check_circle Personal projects, open-source contributions, research, or portfolio work involving AI agents, copilots, or LLM-driven applications.
• check_circle Bachelor's degree in Computer Science, Data Science, Software Engineering, Artificial Intelligence, or a related discipline.
• check_circle Alternatively, equivalent practical experience and demonstrated technical capability will be considered.

About the company

• check_circle Is naturally curious and passionate about the future of AI and emerging technologies.
• check_circle Enjoys experimenting, prototyping, and turning innovative ideas into practical solutions.
• check_circle Takes ownership of deliverables and follows through from concept to completion.
• check_circle Thrives in fast-moving environments where priorities and requirements evolve.
• check_circle Enjoys learning new tools, frameworks, and techniques.
• check_circle Balances technical excellence with a strong focus on client value and business outcomes.
• check_circle Is a collaborative team player who enjoys working across diverse disciplines and perspectives.
• check_circle Communicates confidently with stakeholders at all levels.
• check_circle Actively contributes to knowledge sharing and continuous improvement within the wider AI community.