Full-Stack AI Engineer
Core
Design and build agent-enabled applications, backend automation, and user-facing interfaces that transform catalogue and metadata into governed, production-quality software.
Role type
Senior Full-Stack AI Engineer (Data Platform & Agents)
Builds
Agent-enabled workflows, data-contract generators, data-readiness utilities, and platform discovery interfaces
Domain
Data Engineering, AI Agents, Metadata Governance
Deliverable
production ML models | product features
Required skills
Python (FastAPI, Pydantic, async), React, TypeScript, Neo4j, Graph RAG, LLM integration, MCP (build/consume), RESTful APIs, CI/CD, AWS, Docker
Preferred skills
MCP server development, data governance standards, regulated/life-sciences domain experience
Technologies
FastAPI, Pydantic, React, Vue.js, Neo4j, Supabase, Snowflake, AWS, Docker, PostgreSQL, Databricks, Collibra, Unity Catalogue, Horizon
Responsibilities
Develop backend automation integrating metadata sources to generate governed artifacts; Design and build agent-enabled applications and workflows including MCP servers; Build user-facing interfaces for platform and discovery workflows; Deliver production-quality services with sound API design, testing, and CI/CD practices
Seniority
Senior, hands-on IC