# AI Engineer

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** Remote
**Role:** ML Engineering
**Salary:** $117k – $202k/yr
**Experience:** 7+ years
**Skills:** Python, SQL, LLMs, Generative AI, RAG, agents, Databricks, unity catalog, Delta Lake, Postgres, React, TypeScript, FastAPI, Spark, dbt
**Posted:** 2026-07-30

> Build and ship AI-powered analytics agents, LLM-driven workflows, and intelligence features for Databricks' internal GTM platform (Customer Zero). Requires 7+ years software/AI engineering experience, strong Python/SQL, hands-on LLM/RAG/agents experience, and fluency with AI coding tools like Claude.

## Job Description

## 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 our Databricks lakehouse (Unity Catalog, Delta) and Lakebase (Postgres) services that back the apps.
- 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.
- Contribute to evaluation and quality: help measure and improve the accuracy of our AI outputs (eval sets, scorecards, regression checks).
- Partner with data engineers, app engineers, and strategy/ops stakeholders to take work from idea → ticket → PR → production.
- Write clean, well-documented, tested code and participate in code review (human and AI-assisted).

## What we look for

- Bachelor's degree in Computer Science, Data Science, or a 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 — prior work building with APIs, prompts, RAG, Knowledge graphs & agents.
- Genuine fluency with AI developer tools (e.g., Claude, Cursor) and a desire to push how far AI-assisted engineering can go.
- Strong problem-solving, curiosity, and a bias to ship and iterate; comfortable with ambiguity in a fast-moving team.
- Clear written and verbal communication; works well with both engineers and non-technical stakeholders.

## Nice to have

- 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.

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**Apply:** https://hotfix.jobs/jobs/ee3c4a26-4855-4ced-b09f-06d788519101
**Canonical:** https://hotfix.jobs/jobs/ee3c4a26-4855-4ced-b09f-06d788519101