Senior Backend Software Engineer
AI summary of the role
Senior backend engineer for a Series-A AI voice-agent startup in freight logistics, embedded with customers in Chicago.
What you’ll do
- Lead technical delivery for customer implementations, integrations, and workflow builds from scoping to production rollout.
- Architect and build workflows that encode real customer processes, integrating with their systems and adapting to edge cases.
- Develop core platform components and integration tooling to standardize patterns and scale deployments.
- Navigate complex environments and design solutions that work in practice, not just on paper.
What you’ll bring
- 3-6+ years of professional software engineering experience with ownership of production-critical systems.
- Strong command of TypeScript, Node.js, and REST API design.
- Hands-on experience with AI-driven systems, including tuning agent behavior and refining prompts.
- Exceptional communication and judgment balancing speed, reliability, and real-world constraints.
Technologies
TypeScript · Node.js · REST API · AI agents · prompt engineering · workflow automation · integrations
About FleetWorks
AI voice, text, and email agents for freight brokers and carriers that automate load coverage, negotiation, tracking, and booking workflows.
Series A · 10–50 people
Source and classification
Implementation & delivery · Evidence for this classification:
Every year, companies spend over a trillion dollars moving freight across the U.S. but the system for matching trucks with jobs is still slow, manual, and fragmented. FleetWorks is fixing that. We’re building voice agents that transform the chaotic freight booking process into a modern, intelligent marketplace. Our agents replace the endless phone calls, texts, and emails and match truckers who want to get paid with loads that need to be moved. We’re expanding our engineering team in Chicago, a major hub for our customers and the heart of U.S. freight operations. In this role, you’ll be a full member of our core engineering team, but deployed directly into the environments where our product meets the real world. You’ll build production features, design integrations inside messy customer systems, and shape the internal tooling and platform components that allow us to scale deploymentsHow jobs are selected
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