Full Stack AI Engineer (Enterprise AI Products and Internal Copilots)

Deliverables Expected in the First 6-12 Months Establish clear delivery patterns and reusable assets for priority AI use cases. Support at least two to four high-priority MVPs/pilots moving from discovery into controlled pilot or production readiness. Create documentation, reusable code, deployment patterns, evaluation methods and operational practices that reduce future delivery effort. Demonstrate measurable improvements in delivery speed, automation, user productivity, AI quality, operational efficiency or cost avoidance. Build credibility with business stakeholders by delivering practical, secure and usable AI solutions rather than conceptual prototypes. Technical Skills and Capabilities React, Next.js, TypeScript, HTML, CSS and modern UI component libraries Python, FastAPI, Node.js, NestJS or Express REST APIs, GraphQL where applicable, webhooks and event-driven integration Databases such as PostgreSQL, SQL Server, Cosmos DB or equivalent Azure AI Foundry, Azure OpenAI, OpenAI API...