AI Engineer — GTM Analytics

About This Role

Key ResponsibilitiesAI-extracted

• 1
  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.
• 2
  Develop and integrate agentic workflows — prompts, tools/MCP integrations, retrieval, and evaluation — that turn business questions into reliable, grounded answers.
• 3
  Write Python and SQL against our Databricks lakehouse (Unity Catalog, Delta) and Lakebase (Postgres) services that back the apps.
• 4
  Contribute to evaluation and quality: help measure and improve the accuracy of our AI outputs (eval sets, scorecards, regression checks).
• 5
  Partner with data engineers, app engineers, and strategy/ops stakeholders to take work from idea → ticket → PR → production.
• 6
  Write clean, well-documented, tested code and participate in code review (human and AI-assisted).

RequirementsAI-extracted

• 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.

Perks & BenefitsAI-extracted