Full-Stack AI Engineer
Core
Design and build agent-enabled applications, backend automation, and user-facing interfaces that transform metadata and catalogues into governed, production-quality software.
Role type
Senior Full-Stack AI Engineer (Data Platform & Agents)
Builds
Agent-enabled applications, backend automation services, and platform discovery interfaces
Domain
Enterprise AI, Data Governance, and Metadata Management
Deliverable
production ML models
Required skills
Python (FastAPI, Pydantic, async), React, TypeScript, Neo4j, MCP (Model Context Protocol), LLM integration, AWS, Docker, CI/CD
Preferred skills
Data governance tooling (Collibra, Unity Catalogue), Life Sciences domain experience, MCP server building
Technologies
Python, FastAPI, React, TypeScript, Neo4j, Supabase, AWS, Docker, Snowflake, Collibra, Unity Catalogue
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
