HartleyCo
Member of Technical Staff - AI Data Engineer
$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.
Base pay range $150,000.00/yr - $250,000.00/yr
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
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 with Airflow, Temporal, n8n, or similar workflow engines
Startup mindset and bias toward rapid execution
Nice to Have
Experience with stream processing (Flink)
dbt or Clickhouse experience
Experience with context construction, RAG, or agent workflows
What You Can Expect
Fast decision‑making and rapid shipping cycles
Real ownership over architecture and outcomes
Opportunity to work on AI systems operating at meaningful scale
Meals provided plus full medical, dental, and vision benefits
Location: Mountain View, CA
If this sounds like you, please apply now.
#J-18808-Ljbffr
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.
Base pay range $150,000.00/yr - $250,000.00/yr
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
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 with Airflow, Temporal, n8n, or similar workflow engines
Startup mindset and bias toward rapid execution
Nice to Have
Experience with stream processing (Flink)
dbt or Clickhouse experience
Experience with context construction, RAG, or agent workflows
What You Can Expect
Fast decision‑making and rapid shipping cycles
Real ownership over architecture and outcomes
Opportunity to work on AI systems operating at meaningful scale
Meals provided plus full medical, dental, and vision benefits
Location: Mountain View, CA
If this sounds like you, please apply now.
#J-18808-Ljbffr