AI Applications Developer

Job Responsibilities

• Build AI-powered applications that deliver agentic and generative AI capabilities to business users across commercial, supply chain, manufacturing, and R&D functions. 
• Develop and tune Retrieval-Augmented Generation (RAG) pipelines over unstructured content such as product specs, Safety Data Sheets, standard operating procedures, emails, and meeting transcripts — using parsing (Azure Document Intelligence, Unstructured), chunking, embeddings, hybrid search, and reranking. 
• Create domain-specific tools and connectors (including Model Context Protocol servers) that expose enterprise systems — ERP, planning, analytics, content management, and custom APIs — as safe, well-documented actions for AI agents to call. 
• Build user-facing surfaces with Microsoft Copilot Studio, Power Apps, Teams apps, Streamlit, or React — including chat interfaces, approval workflows, and result-review screens. 
• Implement data validation and guardrails at every tool boundary: schema checks, business-rule validation, content safety, PII handling, and explicit user confirmation for write operations. 
• Partner with product owners and subject-matter experts to gather requirements, translate workflows into agent execution plans, prototype rapidly, demo, gather feedback, and iterate. 
• Support deployment and operations of the applications you build: package for production on Azure AI Foundry or Container Apps, add tracing and logging, monitor usage and quality, and respond to production issues. 
• Apply prompt engineering and evaluation to measure application quality — build test cases, run LLM-as-judge evals, and track regressions over time. 
• Document use cases, tools, and playbooks so applications remain maintainable and extensible by the team. 
• Collaborate across globally distributed teams through code reviews, pair programming, and shared technical standards.