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# Software Engineer

- **Company:** ROADRUNNER LLC
- **Location:** San Francisco, CA, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Large Language Models
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/software-engineer-roadrunner-8146462

## About the Role

* Strong engineering fundamentals - you know the tradeoffs between speed and quality, and when each one matters.
 * High autonomy and a builder's mindset - you figure out what needs to be done and do it.
 * Clear, direct communication across technical and non-technical audiences.
 * Based in SF or excited to relocate - we're an in-person team.

Bonus points if…

 * Experience building or deploying AI/LLM systems in production.
 * Familiarity with agent tooling, eval frameworks, or RAG pipelines.
 * You've been a founder or early engineer and know what full ownership actually feels like.
 * Prior experience working directly with customers or external stakeholders on technical projects.

## Description

* Own the product end-to-end. You'll build across Roadrunner's core systems - fast, reliable, and genuinely delightful for the AEs who depend on them. These aren't prototypes. They run in production.
 * Ship AI agents that change how deals get done. You'll design and deploy proactive agents that handle quoting, deal modeling, and complex multi-step workflows.
 * Build for enterprise scale. Workflow engines powering approval flows for multibillion-dollar transactions at millisecond-level response times. The bar is high on purpose.
 * Work directly with the people using what you build. Close feedback loops. Understand real pain. Ship again.

Example projects

 * Sprinting two weeks to take a new feature from zero to shipped, iterating directly with AEs in the field.
 * Building AI agents that proactively surface quoting recommendations and model complex deal structures before the AE even asks.
 * Designing workflow engines that power approval flows for multibillion-dollar transactions with sub-millisecond response times.


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