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.

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 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

Nice To Have :

Experience with stream processing (Flink)

dbt or Clickhouse experience

CDC pipelines

Experience with context construction, RAG, or agent workflows

Analytical tooling (Posthog)

What You Can Expect :

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.