AI Data Engineer; Hayward

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.

• Build distributed, reliable data pipelines using Airflow, Temporal, and n8n
• Model SQL, vector, and No
  
  SQL 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

• Strong background in data engineering
• Hands‑on experience working with LLMs or LLM‑powered applications
• Data modeling skills across SQL and vector databases
• Experience building distributed systems
• Experience with Airflow, Temporal, n8n, or similar workflow engines
• Python experience (API/services)
• Startup mindset and bias toward rapid execution

• Experience with stream processing (Flink)
• dbt or Clickhouse experience
• CDC pipelines
• Experience with context construction, RAG, or agent workflows
• Analytical tooling (Posthog)

• High‑intensity, in‑office environment
• Fast decision‑making and rapid shipping cycles
• Real ownership over architecture and outcomes
• Opportunity to work on AI systems operating at meaningful scale
• Competitive compensation package
• Meals provided plus full medical, dental, and vision benefits

If this sounds like you, please apply now.