Senior Software Engineer

Reposted Yesterday
San Francisco, CA, USA
Hybrid
Mid level
Artificial Intelligence • Information Technology • Software • Automation
The Role
Full‑stack Software Engineer building user-facing AI features across frontend and backend. Ship production code, integrate LLMs/AI APIs, design technical solutions, perform code reviews, optimize systems, and deploy to cloud infrastructure.
Summary Generated by Built In

Company Description

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.

Role Description

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.

What you will do

  • 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 cleanly and at scale

  • Integrate AI APIs and third-party services, selecting the right building blocks rather than rebuilding from scratch

  • Take full ownership of projects from design through deployment and monitoring

Required Experience

  • 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

Our Stack

  • Frontend: React, TypeScript, Tailwind CSS

  • Backend: Python, PostgreSQL, DuckDB

  • AI: OpenAI/Anthropic APIs

  • Infrastructure: AWS (ECS)

  • Tools: GitLab, Linear, Figma, HoneyComb

Why Join us

  • Own meaningful technical decisions at the ground floor of an AI company targeting a massive market

  • Work directly with founders and have immediate, visible impact

  • Competitive compensation including equity and benefits (100% employer-paid health plan coverage for employees)

Skills Required

  • 3-5 years of professional software engineering experience
  • Proficiency developing and integrating frontend and backend web applications with modern frameworks
  • Solid understanding of APIs, databases, and web fundamentals
  • Experience shipping production code and working in collaborative codebases
  • Exposure to AI tools, LLMs, or integrating third-party AI APIs
  • Experience at a startup or fast-moving tech company
  • Understanding and experience deploying applications in cloud platforms (e.g., AWS, GCP, Azure)
  • React
  • TypeScript
  • Tailwind CSS
  • Python
  • PostgreSQL
  • OpenAI APIs
  • Anthropic APIs
  • Vector databases
  • AWS (ECS)
  • GitLab
  • Linear
  • Figma
  • Slack
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The Company

What We Do

Whirl AI is an enterprise AI company that provides an agentic platform designed to help IT teams understand, enhance, and modernize complex business processes and core systems. By capturing the context of enterprise applications, configurations, and integrations, Whirl AI enables IT professionals to accelerate changes to underlying systems, reducing timelines from weeks or months to hours or days.

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