Traba
AI
StaffSoftwareEngineer(AIAgents)
Neural analysis suggests this role is
optimal for Senior candidates.
“Staff Software Engineer (AI Agents) at Traba. Skills: AI Agents, Agent platform, Applied AI, LLM systems”
Industry & Context.
Pragmatic about tradeoffs
On-call
What They're Looking For.
Must Have
7+ years software engineering, 2+ years LLM/agent systems, Python/TypeScript/Node.js proficiency, PostgreSQL and messaging experience, Production agent system ownership
Nice to Have
Prior experience at vertical AI/agent company, Palantir/Scale FDE experience, AI-native data company experience, Supply chain exposure, Logistics exposure, Industrial operations exposure
How You'll Work.
Team & Collaboration
Partner with CTO; Partner with product; Partner with ops leadership
Communication Scope
Written communication; Verbal communication; Customer workshops; Design docs; Recruiting
Process & Methodology
Roadmap planning
Full Job Description
Traba is the AI operating layer for the industrial supply chain. We started in workforce—temp staffing, the biggest operational pain point for the manufacturing and logistics customers we serve—and used it to embed ourselves inside their daily operations and create a far better customer experience through technology. Now those same customers are pulling us beyond staffing into the broader operational workflows that run their facilities. That foundation gave us proprietary data from millions of shifts and deep enterprise relationships. But our edge is more than data: by connecting to the systems running across every facility and activating the workers already on our platform to execute against them, we are building applied AI that drives real productivity gains and transforms how the global supply chain operates at scale. We are backed by Founders Fund, Khosla Ventures, and General Catalyst. We are seeking an entrepreneurial Staff Applied Agent Engineer to join as a founding member of the Agents team and lead the development of Traba's agentic platform—the layer that synthesizes the data flowing through our marketplace, talks to our customers' operational systems, and acts autonomously inside the workflows that run their facilities. You'll partner with our CTO to make the core architectural calls on how agents are built, evaluated, and deployed at Traba; set the bar for quality and reliability; and bring the outside perspective on agent-building, FDE-style customer immersion, and data-product craft that this 0-to-1 product needs. ABOUT YOU - You've already built agents that survived contact with reality. You've shipped agent systems into production at meaningful scale—designed the harness, picked the orchestration patterns, owned the evals, and lived with the on-call. You have strong opinions on where to draw the line between prompting, fine-tuning, retrieval, and code, and why. - Domain depth meets technical breadth. You're as comfortable in a warehouse on a cus
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