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.
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