Full Stack AI Engineer (AI Automation, RAG and Workflow Applications)

Deliverables

• 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...