Databricks
AI Engineer — GTM Analytics
About this role
Databricks seeks an AI Engineer to build intelligence and agentic workflows for their GTM Analytics platform, which serves 6,000+ field users. You'll develop Genie-powered agents, LLM-driven features, and applications using Python, SQL, and AI coding tools while working closely with senior engineers in a high-ownership, fast-shipping environment.
What you'll do
- Build and ship AI-powered features including Genie analytics agents and LLM-assisted workflows
- Develop agentic workflows with prompts, tool integrations, retrieval, and evaluation mechanisms
- Write Python and SQL against Databricks lakehouse (Unity Catalog, Delta) and Postgres services
- Leverage AI coding tools as core workflow and help build reusable skills and harnesses
- Measure and improve AI output accuracy through eval sets, scorecards, and regression testing
- Collaborate across data engineers, app engineers, and business stakeholders from concept to production
What they're looking for
- Python programming
- SQL and database design
- LLMs and generative AI
- Agentic AI systems and prompt engineering
- RAG, knowledge graphs, and retrieval systems
- Databricks and lakehouse architecture
- AI evaluation and quality metrics
- Postgres and backend services
Opens the official application on the employer’s site. No login required.
Databricks
Databricks builds a unified data and AI platform that combines database systems, distributed computing, and generative AI capabilities across multi-cloud infrastructure. The company is hiring software engineers, applied AI engineers, and web engineers to develop core database engines, ML/AI features, inference systems, and user-facing products.
- Website
- databricks.com
Likely interview questions
- Describe a time you built an LLM-based application or agent system—what was the architecture and how did you handle hallucinations or accuracy issues?
- How do you approach evaluating and measuring the quality of AI-generated outputs in production?