Staff Software Engineer, Autonomous Freight Systems
$196,875–$246,094 year
On-siteSan Francisco, California, United States
San Francisco, California, United StatesOn-siteFull Time$196,875–$246,094 yearSenior LevelLogistics SoftwareLarge
Full TimeSenior LevelLargeLogistics Software
Job Summary
Design and ship end-to-end AI agents that handle pricing intelligence and booking compliance without human oversight. Create secure tooling to expose internal logistics data to LLMs and navigate evolving agent patterns, RAG, and prompt engineering to solve complex problems. Build and launch products incrementally, shipping to production dozens of times daily while partnering with Pricing, Sales, Ops, and Design on hard domain problems. Mentor engineers and define the team's technical roadmap to establish a new codebase for the autonomous freight booking experience.
Required Qualifications
- LLM Fluency: Experience with agent patterns, RAG, and prompt engineering. You know what works in production versus what only looks good in a demo.
- Agentic Orchestration: Experience with workflow orchestration (e.g., Temporal) and building reliable systems around non-deterministic AI.
- Entrepreneurial Drive: You don't wait for a spec; you find the highest-leverage automation problems and design the AI-driven solution.
- Product Instincts: You can identify what is worth building, not just execute on a spec. You have a proven track record of building data-heavy applications where high-quality user interaction is the priority.
- Architecture Leadership: Demonstrated experience leading technical initiatives across multiple teams or systems, specifically in building unified interfaces that aggregate data from various backend systems.
- Technical Rigor: A love of simple, well-tested code that is easy to extend and hard to break, combined with experience building large-scale distributed systems.
- Technical Communication: The ability to convey technical ideas in common terms to business partners, product managers, and engineers alike.
Desired Qualifications
- Experience with elements of our tech stack: Java, Spring Boot, Ruby on Rails, React, AWS.
- Experience in logistics, supply chain, or freight technology.
- Experience building internal tools or operator-facing applications.
- A bias for action: When you see a problem, you solve it.
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