- Workplace
- Onsite
- Type
- Full-time
- Department
- Engineering
- Experience
- 5+ years
- Education
- Master
- Source
- RecruiterFlow
Description
-
Own the AI stack for freight — build agents, carrier sales automation, quoting systems, and email triage/routing using LLMs and agentic workflows
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Set the technical foundation from the ground up — architecture decisions, deployment, tooling, CI/CD, and engineering culture
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Build fraud prevention systems to catch and mitigate load theft across dozens of fraud vectors
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Deeply embed with freight brokers — join their calls, watch them work, and turn that understanding into software that changes how they operate
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Partner with the Head of Product on what to build, what to buy, and how to integrate it — you'll have a real seat at the table on business direction
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Ship fast with tight feedback loops measured in hours, not sprints — take ideas from prototype to production with real users
- 5+ years of experience in full-stack engineering with startup experience
- Founding or early engineer at a startup
- Built AI/LLM-powered products or agentic workflows in production
- LLMs, agentic workflows, and AI integration experience
- Owned technical architecture decisions on a small team
- CI/CD, infrastructure, and DevOps tooling setup
- Logistics, supply chain, or freight industry experience
- Fraud detection or rules-based prevention systems
