AI Engineer — GTM Analytics

The shape of it

In the posting’s own words

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.

What it asks for · 7

• 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.

Also a plus

• 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.

What the job covers

• 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).

Degree language

• Bachelor's degree in Computer Science, Data Science, or a related field — or equivalent practical experience.

Tools and skills named

Words the posting leans on

• apps7×
• engineers6×
• build5×
• code5×
• data5×
• experience5×
• genie5×
• platform5×
• agentic4×
• agents4×
• end4×
• engineering4×
• unity catalog4×
• workflows4×
• lakebase3×
• python3×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

More open at Databricks

• ソリューションアーキテクト (プリセールス)Tokyo, Japan
• デリバリーソリューションアーキテクトTokyo, Japan
• Account ExecutiveBengaluru, India; Mumbai, India
• Account Executive - FederalAustralian Capital Territory, Australia
• Account Executive, SingaporeSingapore
• Accounting ManagerSan Francisco, California