Responsibilities

• Develop and implement assistant workflows using function and tool calling, returning structured JSON responses.
• Build and package reusable agent skills and lightweight tool adapters for enterprise use.
• Create RAG pipelines, including data ingestion, chunking, embedding, and indexing, with quality and freshness checks.
• Support ChatGPT Enterprise deployments, including workspace setup, SSO/SCIM onboarding, role-based access configuration, and basic custom GPT administration.
• Assist with fine-tuning workflows, including dataset preparation, supervised runs, and performance tracking.
• Implement operability measures—add telemetry for latency, token usage, and cost metrics; write smoke tests and maintain troubleshooting documentation.
• Use frameworks such as LangChain, LangGraph, or Semantic Kernel to build and integrate AI applications.
• Connect assistants with enterprise tools (e...