AI Software Engineer Microsoft

Working at Freudenberg: We will wow your world!

• 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.

• Microsoft Copilot Studio: Experience with conversational design, prompt engineering, orchestration flows, and plugin/action development.
• Azure AI Foundry / Azure OpenAI solutions: Practical implementation of prompt optimization, RAG, grounding strategies, vector search, and safe production usage.
• Microsoft ecosystem integration: Strong integration skills across Microsoft Graph, Dataverse, Azure Functions, Logic Apps, and M365 extensibility (Teams, Outlook).
• APIs, connectors & automation: Designing and building APIs, custom connectors, and automation workflows to extend Copilot and AI-driven solutions.
• Responsible AI & security fundamentals: Secure-by-design AI solutions using Entra ID, RBAC, environment strategies, data access controls, and governance alignment.
• Strong software engineering foundation: Hands-on development using JavaScript/TypeScript, C#, or Python, with clean architecture and scalable patterns.
• Cloud-native application architecture on Azure: Stateless services, event-driven patterns, and integration with Fabric / OneLake–based data platforms.
• DevOps for AI and application solutions: Git-based development, CI/CD pipelines, automated testing, and environment separation.
• Monitoring, telemetry & observability: Use of Application Insights, Azure Monitor, and analytics (e.g. Power BI) to operate and improve AI-enabled solutions.
• Business-facing solution delivery: Ability to work with stakeholders, translate requirements into scalable Copilot and AI solutions, and iterate based on feedback.

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The Freudenberg Group is an equal opportunity employer that is committed to diversity and inclusion. Employment opportunities are available to all applicants and associates without regard to race, color, religion, creed, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity or expression, national origin, ancestry, age, mental or physical disability, genetic information, marital status, familial status, sexual orientation, protected military or veteran status, or any other characteristic protected by applicable law.