Whirl AI agents help Enterprise IT teams research, design, develop, and test changes to applications and integrations in days — not months. Backed by ICONIQ.
About the role
Build and maintain agent tooling: the tools, actions, and APIs that our AI agents use to operate Develop agent orchestration systems that coordinate multi-step, multi-agent workflows reliably
What they're looking for
- 5–7 years of professional software engineering experience
- Hands-on production experience building with LLMs or AI APIs (OpenAI, Anthropic, etc.)
- Experience with agent frameworks, tool-calling systems, or AI orchestration layers
- Experience designing and operating data ingestion or ETL pipelines
- Strong backend fundamentals with full stack capability (React/TypeScript, Python, PostgreSQL)
- Startup experience strongly preferred, large-company candidates welcome if you've operated with real IC ownership and a scrappy, high-autonomy style
More about this role
Whirl AI helps Enterprise IT organizations deliver business change faster. Our platform gives enterprise teams AI agents grounded in a deep, continuously updated understanding of how their systems actually work - compressing discovery and documentation from weeks to hours without sacrificing quality or control. We are early-stage, moving fast, and building the team that will define how Enterprise IT operates in the AI era.
We are looking for a Senior Software Engineer to own the engineering behind our AI agents and the data infrastructure that powers them. You are a backend-leaning generalist who moves fast, makes pragmatic decisions, and takes pride in shipping things that work. You will be an early team member with real influence over how we build and who we become.
We value in-person collaboration along with flexibility – our team works hybrid from the FiDi in San Francisco, with in-office days Tuesday - Thursday.
Build and maintain agent tooling: the tools, actions, and APIs that our AI agents use to operate
Develop agent orchestration systems that coordinate multi-step, multi-agent workflows reliably
Own data ingestion pipelines that bring customer data into our platform...
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