Member of Technical Staff - AI Data Engineer
San Francisco (In-Office)
$150K to $225K + Equity
A high-growth, AI-native startup coming out of stealth is hiring AI Data Engineers to build the systems that power production-grade AI. The company has recently signed a Series A term sheet and is scaling rapidly. This role is central to unblocking current bottlenecks across data engineering, context modeling, and agent performance.
Responsibilities :
- Build distributed, reliable data pipelines using Airflow, Temporal, and n8n
- Model SQL, vector, and NoSQL databases (Postgres, Qdrant, etc.)
- Build API and function-based services in Python
- Develop custom automations (Playwright, Stagehand, Zapier)
- Work with AI researchers to define and expose context as services
- Identify gaps in data quality and drive changes to upstream processes
- Ship fast, iterate, and own outcomes end-to-end
Required Experience :
Strong background in data engineeringHands-on experience working with LLMs or LLM-powered applicationsData modeling skills across SQL and vector databasesExperience building distributed systemsExperience with Airflow, Temporal, n8n, or similar workflow enginesPython experience (API / services)Startup mindset and bias toward rapid executionNice To Have :
Experience with stream processing (Flink)dbt or Clickhouse experienceCDC pipelinesExperience with context construction, RAG, or agent workflowsAnalytical tooling (Posthog)What You Can Expect :
High-intensity, in-office environmentFast decision-making and rapid shipping cyclesReal ownership over architecture and outcomesOpportunity to work on AI systems operating at meaningful scaleCompetitive compensation packageMeals provided plus full medical, dental, and vision benefitsIf this sounds like you, please apply now.