AI Engineer - GTM Analytics
Role overview
As an AI Engineer you'll help build the intelligence and application layers of that platform: Genie-powered analytics agents, LLM-driven workflows (feedback analysis, "what's new" enablement, BRD-to-plan automation), and the Databricks Apps and Lakebase services that serve them. You'll work alongside senior engineers, and you'll be expected to lean on AI coding tools heavily and thoughtfully from day one. This is a high-ownership, fast-shipping team where early-career engineers get real surface area.
Responsibilities
- check_circle 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.
- check_circle Develop and integrate agentic workflows — prompts, tools/MCP integrations, retrieval, and evaluation — that turn business questions into reliable, grounded answers.
- check_circle Write Python and SQL against our Databricks lakehouse (Unity Catalog, Delta) and Lakebase (Postgres) services that back the apps.
- check_circle Use AI coding tools (Claude Code, agentic skills) as a core part of your workflow, and help build the reusable skills and harnesses that make the whole team faster.
- check_circle Contribute to evaluation and quality: help measure and improve the accuracy of our AI outputs (eval sets, scorecards, regression checks).
- check_circle Partner with data engineers, app engineers, and strategy/ops stakeholders to take work from idea → ticket → PR → production.
- check_circle Write clean, well-documented, tested code and participate in code review (human and AI-assisted).
- check_circle Bachelor's degree in Computer Science, Data Science, or a related field — or equivalent practical experience.
- check_circle 7+ years of software and AI engineering related experience.
- check_circle Solid fundamentals in Python and SQL.
- check_circle Hands-on exposure to LLMs / generative AI — prior work building with APIs, prompts, RAG, Knowledge graphs & agents.
- check_circle Genuine fluency with AI developer tools (e.g., Claude, Cursor) and a desire to push how far AI-assisted engineering can go.
- check_circle Strong problem-solving, curiosity, and a bias to ship and iterate; comfortable with ambiguity in a fast-moving team.
- check_circle Clear written and verbal communication; works well with both engineers and non-technical stakeholders.
Preferred qualifications
- Experience with the Databricks platform (AI Gateways, notebooks, jobs, Unity Catalog, Databricks Apps, Genie) or another cloud data platform.
- Building or evaluating agentic, RAG systems; familiarity with MCP, tool-calling, or eval frameworks.
- Full-stack exposure (React/TypeScript front end, FastAPI/Python back end) or data engineering (dbt, Spark, medallion architectures).
- Experience with Postgres/OLTP, CI/CD (Databricks Asset Bundles, GitHub Actions), or analytics/BI.
Tags & Focus Areas
About Databricks
Note: The job is a remote job and is open to candidates in USA. Databricks is the data and AI company, and they are seeking a highly skilled Lead Security Architect to join their IT team. This role involves designing and implementing secure architectures to protect corporate assets while focusing on IT security areas such as Identity and Access Management and Zero Trust architecture.