AI Software Engineer Microsoft

Working at Freudenberg: We will wow your world! Responsibilities: Build AI‑enabled application components with Azure AI Foundry / Azure OpenAI, including RAG patterns, grounding strategies, and safe prompt designs. Design and implement Copilot solutions with Microsoft Copilot Studio, including conversational flows, prompt engineering, orchestration logic, plugins/actions, and required integrations. Develop backend services and extensibility components (APIs, custom connectors, automation) using JavaScript/TypeScript, C#, or Python; integrate with Microsoft Graph, Dataverse, Azure Functions, Logic Apps, and M365 extensibility (e.g., Teams). Apply cloud‑native and event‑driven patterns—stateless services, scalability, environment separation, and asynchronous messaging (e.g., Event Hubs). Deliver secure, end‑to‑end solutions covering authentication, authorization (Entra ID/RBAC/managed identities), environment strategies, lifecycle governance, and compliance with corporate data protection policies. Support DevOps and CI/CD for Copilot and AI assets: Git‑based workflows, versioning, automated testing, pipelines, and environment promotion/release management. Implement monitoring, telemetry, analytics, and performance optimization using Application Insights, Azure Monitor, and (where relevant) Power BI, ensuring reliability and continuous improvement. Apply Responsible AI practices—testing, evaluation, guardrails/safety, and continuous improvement of copilots and AI experiences. Translate business requirements into scalable, secure, and maintainable AI/Copilot architectures, producing design artifacts and implementation guidelines. Collaborate with product owners, architects, and business stakeholders; work with data engineers, platform, and security teams to deliver end‑to‑end solutions; provide documentation, best practices, and handover/enablement materials. Qualifications: Microsoft Copilot Studio: Experience with conversational design, prompt engineering, orchestrati