AI Engineer — GTM Analytics
AI summary of the role
AI Engineer on Databricks' internal GTM Analytics team, building the AI-native analytics platform (Genie agents, LLM workflows) used by 6,000+ field users.
What you’ll do
- Build and ship features for AI-powered surfaces: Genie analytics agents, LLM-assisted feedback and enablement workflows, and in-app intelligence inside the GTM Hub.
- Develop and integrate agentic workflows — prompts, tools/MCP integrations, retrieval, and evaluation — that turn business questions into reliable, grounded answers.
- Write Python and SQL against Databricks lakehouse (Unity Catalog, Delta) and Lakebase (Postgres) services.
- Use AI coding tools (Claude Code, agentic skills) as a core part of workflow and build reusable skills and harnesses.
What you’ll bring
- Bachelor's degree in Computer Science, Data Science, or related field — or equivalent practical experience.
- 7+ years of software and AI engineering related experience.
- Solid fundamentals in Python and SQL.
- Hands-on exposure to LLMs / generative AI — building with APIs, prompts, RAG, Knowledge graphs & agents.
Technologies
Python · SQL · Unity Catalog · Delta · Lakebase · Genie · Claude Code · MCP · RAG · FastAPI · React · TypeScript
About Databricks
Unified Data Intelligence Platform (lakehouse + Mosaic AI) used by 10,000+ orgs and 50%+ of the Fortune 500 for ETL, BI, ML, and GenAI.
Private Late
Employer postings · Data from · Sources