Senior Software Engineer (AI Agents)
AI summary of the role
Founding member of Traba's Agents team, building the AI agent platform that automates workflows across the industrial supply chain.
What you’ll do
- Embed with customers and operators to understand supply chain operations, then design and ship agents that automate their workflows.
- Build production agent systems on frontier LLMs: tool use, sub-agents, retrieval, structured outputs, MCP servers, and orchestration.
- Own evaluation as a first-class discipline—datasets from real traces, rubrics, graders, and experiments that prove improvement.
- Architect the data, services, and APIs the agent layer depends on, integrating with customers' WMS, TMS, and ERP systems.
What you’ll bring
- 5+ years of software engineering, with 1+ year shipping LLM- or agent-based features into production.
- Strong in Python and/or TypeScript/Node.js, with experience designing APIs, distributed systems, and data models in PostgreSQL.
- Hands-on with the modern agent stack: production-scale prompt engineering, evaluation frameworks, orchestration patterns, and frontier model APIs.
- Track record of building in fast, ambiguous environments—ideally at a vertical AI, AI-agent, forward-deployed, or data-product company.
Technologies
Python · TypeScript · Node.js · PostgreSQL · LLM · MCP · agent orchestration · evaluation frameworks · frontier model APIs · WMS · TMS · ERP
Source and classification
Production engineering · Evidence for this classification:
themselves—the harnesses, evals, orchestration, and model strategy the rest of Traba's product runs on. We're seeking an entrepreneurial Senior AI Agent Engineer to join as a founding member of the Agents team and build the next layer of Traba's product—an agentic platform that synthesizes the data flowing through our marketplace and operates autonomously inside our customers' supply chain workflows. (Our Applied AI team puts these agents to work across the product; you own the agents and infrastructure they depend on.) You'll embed deeply in our customers' operations, design and ship production agent harnesses on top of frontier models, and turn what you learn in the field into durable product. You will partner closely with our CTO, product, and our operators to take 0-to-1 ideas to scaled deployments. About You Builder with an AI operator's instinct. You've shipped real product on
More from the job description
Traba is building the AI operating system for the industrial supply chain - the network of warehouses, manufacturers, logistics providers, and workers behind the physical goods people rely on every day. We started by tackling labor, supplying industrial businesses with consistent, reliable temporary workforces, and quickly became the fastest growing staffing company in America. Since then, we've expanded our suite of AI agents to help logistics providers, manufacturers, 3PLs, and other industrial businesses fully automate their manual workflows, derive insights from their data streams, and transform their decision intelligence. Our mission is to build a world where the global supply chain operates at peak efficiency. We’re proud to be backed by some of the world’s best investors, including Founders Fund, Khosla Ventures, and General Catalyst. You'll build the AI agents themselves—the harnesses, evals, orchestration, and model strategy the rest of Traba's product runs on. We're seeking an entrepreneurial Senior AI Agent Engineer to join as a founding member of the Agents team and build the next layer of Traba's product—an agentic platform that synthesizes the data flowing through our marketplace and operates autonomously inside our customers' supply chain workflows. (Our Applied AI team puts these agents to work across the product; you own the agents and infrastructure they [... source excerpt omitted ...] You'll embed deeply in our customers' operations, design and ship production agent harnesses on top of frontier models, and turn what you learn in the field into durable product. You will partner closely with our CTO, product, and our operators to take 0-to-1 ideas to scaled deployments. About You Builder with an AI operator's instinct. You've shipped real product on top of LLMs—not just chat wrappers. You've designed agent harnesses, structured tools, written evals, and tuned prompts against production traces. You think in capability, reliability, and unit economics—not just whether the model says the right thing. Domain-immersed. You enjoy time with the people who do the wo [... source excerpt omitted ...] d a deadline, you scope, build, evaluate, and ship without waiting for a spec. Sweat both ends of the stack. You move between prompt iteration, eval design, backend services, and customer-facing UI in the same week, and you care about evals that catch regressions and traces that are easy to debug. You Will Embed with customers and operators to understand how supply chains run today—then design and ship agents that take meaningful work off their plate. Build production agent systems on frontier LLMs: tool use, sub-agents, retrieval, structured outputs, MCP servers, and the orchestration that ties them together. Own evaluation as a first-class discipline—datasets from real tra
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