1 day ago

AI Engineer — GTM Analytics

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Build and ship AI-powered features for Databricks’ GTM Analytics platform, including Genie analytics agents and LLM-driven workflows that turn business questions into grounded, reliable answers. Develop agentic workflow pipelines with prompts, tools/MCP integrations, retrieval, and evaluation. Write Python and SQL on the Databricks lakehouse and Lakebase (Postgres), contribute to AI output accuracy, and partner across data and app engineering to move ideas from ticket to production.

Location: Illinois

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Build and ship features for AI-powered surfaces, including Genie analytics agents and in-app intelligence inside the GTM Hub.
•Develop and integrate agentic workflows using prompts, tools/MCP integrations, retrieval, and evaluation for grounded answers.
•Write Python and SQL against the Databricks lakehouse and Lakebase (Postgres) services that back the apps.
•Use AI coding tools as a core workflow and help build reusable skills and harnesses for the team.
•Contribute to evaluation and quality (eval sets, scorecards, regression checks) and partner cross-functionally to deliver from idea to production.

Pay and Benefits

Salary: USD 117,300 - 201,650

Key Requirements

•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, including prior work building with APIs, prompts, RAG, knowledge graphs, and agents.
•Fluency with AI developer tools (e.g., Claude, Cursor) plus strong problem-solving and clear communication.

Experience:7+ yearsAIGenerative AI

Education:Bachelor's

Skills:Problem-solvingCuriosityBias to ship and iterateClear communicationCollaboration

Languages:English

Tech Stack:PythonSQLDatabricksUnity CatalogDeltaLakebasePostgresLLMsGenerative AIRAGKnowledge graphsAgentsPromptsMCPClaude CodeClaudeCursorReactTypeScriptFastAPI

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn

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Databricks

1 day ago

AI Engineer — GTM Analytics

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Location: Illinois

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Build and ship features for AI-powered surfaces, including Genie analytics agents and in-app intelligence inside the GTM Hub.
•Develop and integrate agentic workflows using prompts, tools/MCP integrations, retrieval, and evaluation for grounded answers.
•Write Python and SQL against the Databricks lakehouse and Lakebase (Postgres) services that back the apps.
•Use AI coding tools as a core workflow and help build reusable skills and harnesses for the team.
•Contribute to evaluation and quality (eval sets, scorecards, regression checks) and partner cross-functionally to deliver from idea to production.

Pay and Benefits

Salary: USD 117,300 - 201,650

Key Requirements

•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, including prior work building with APIs, prompts, RAG, knowledge graphs, and agents.
•Fluency with AI developer tools (e.g., Claude, Cursor) plus strong problem-solving and clear communication.

Experience:7+ yearsAIGenerative AI

Education:Bachelor's

Skills:Problem-solvingCuriosityBias to ship and iterateClear communicationCollaboration

Languages:English

Tech Stack:PythonSQLDatabricksUnity CatalogDeltaLakebasePostgresLLMsGenerative AIRAGKnowledge graphsAgentsPromptsMCPClaude CodeClaudeCursorReactTypeScriptFastAPI

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn