Job description

At WAVE5, we drive digital transformation by building smart, secure, and scalable applications on the Microsoft platform. Our team of experts leverages the power of Azure, AI, and modern app development to solve complex business challenges for forward-thinking organizations. We are expanding our Data & AI team with a passionate AI Agent Engineer who can help us unlock the full potential of Microsoft’s Copilot, Azure Foundry, and Azure AI technologies for our clients. Role Overview As an AI Agent Engineer, you will design and implement AI agent architectures that operate securely, autonomously, and reliably in enterprise environments. You will develop AI copilots and orchestrated agents using Azure AI Foundry, Copilot Studio, and Semantic Kernel, ensuring secure, scalable interactions through Microsoft Cloud Protocol (MCP) and Agent-to-Agent (A2A) communication standards. Your work will involve turning concepts into working solutions across Microsoft 365, Teams, web apps, and enterprise APIs. What We Offer A role at the forefront of AI innovation in the Microsoft ecosystem. A culture of learning, creativity, and collaboration with a top-tier team. Opportunities to work on diverse, impactful projects across industries. Access to Microsoft training and certification support. Competitive salary, flexible work arrangements, and a supportive work environment. Opportunities for continuous learning, certification, and community involvement. Candidate Profile What do you bring with you? Experience building and deploying intelligent agents using tools like Copilot Studio, Azure AI Foundry, Azure OpenAI, LangChain, Semantic Kernel, MCP, and A2A communication. Developing APIs and backend services in .NET (C#) or Python. Integrating Agents into Copilots, Teams, and other platforms. Setting up secure communication channels with Azure AD, OAuth2, and MCP trust models. Defining prompt chains, agent behaviors, and managing context memory and fallback logic. Implementing monitoring, alerting, and exception handling. Collaborating with AI consultants, architects, and UI/UX teams. Required Skills & Qualifications Strong development experience with .NET C# and Python. Proficiency with Microsoft cloud services, including Azure AI Foundry, Copilot Studio, and OpenAI. Experience with Semantic Kernel or similar frameworks. Understanding of MCP and A2A communication principles. Knowledge of LLM chaining, memory handling, prompt optimization, and token management. Experience with Microsoft Graph, enterprise APIs, and authentication mechanisms. Experience with Azure Functions, Key Vault, CI/CD pipelines (GitHub Actions / Azure DevOps). Bonus: Power Platform, Teams app development, or AI governance knowledge. Education: Bachelor’s or Master’s in Software Engineering, CS, AI, or related field. 3+ years in cloud-based software development or AI solutions. Microsoft certifications (e.g., AI-102, AZ-204, Azure AI Engineer) are a plus. Fluent in English; Dutch is advantageous. #J-18808-Ljbffr

Requirements