Job Summary:
Traba is the AI operating layer for the industrial supply chain. They are seeking an entrepreneurial Senior Applied Agent Engineer to join as a founding member of the Agents team and help build an agentic platform that synthesizes data flowing through their marketplace and operates autonomously inside customers' supply chain workflows.
Responsibilities:
โข Embed with our customers and operators to deeply understand how supply chains run todayโthen design and ship agents that take meaningful work off their plate.
โข Build production agent systems on top of frontier LLMs: tool use, sub-agents, retrieval, structured outputs, MCP servers, and the orchestration layer that ties them together.
โข Own evaluation as a first-class discipline. Build datasets from real traces, write rubrics and graders, run experiments, and ship improvements that you can prove move the needle.
โข Architect and build the data, services, and APIs the agent layer depends onโintegrating with our internal systems and our customers' WMS, TMS, and ERP environments.
โข Codify repeatable deployment patterns so each new customer rollout is faster and more reliable than the last.
โข Be a key player on a scrappy founding teamโcontributing to product direction, hiring, and the engineering culture as we grow.
Qualifications:
Required:
โข 5+ years of professional software engineering experience, with at least 1+ year shipping LLM- or agent-based features into production.
โข Strong proficiency in Python and/or TypeScript/Node.js, and comfort designing APIs, distributed systems, and data models in PostgreSQL.
โข Hands-on experience with the modern agent stack: prompt engineering at production scale, evaluation frameworks (e.g., Langfuse, Braintrust, internal harnesses), agent orchestration patterns, and frontier model APIs (Anthropic, OpenAI, etc.).
โข A track record of building and shipping in fast, ambiguous environmentsโideally at an early-stage vertical AI, AI-agent, FDE-style (Palantir, Scale), or data-product company (Hex, Omni, dbt).
โข Excellent written and verbal communicationโyou can run a customer workshop in the morning and write a clean design doc in the afternoon.
โข A genuine excitement about industrial operations and the chance to use applied AI to make them dramatically better.
Preferred:
โข Builder with an AI operator's instinct. You've shipped real product on top of LLMsโnot just chat wrappers. You've designed agent harnesses, structured tools, written evals, and tuned prompts against production traces. You think in terms of capability, reliability, and unit economics, not just 'does the model say the right thing.'
โข Domain-immersed. You enjoy spending time with the people who actually do the work. You learn an industry's vocabulary, edge cases, and operational tempo, and let that knowledge shape what you build. Bonus points if you've done this for a vertical AI or AI-agent company before (e.g., Nash, HappyRobot, Augment, Pallet, Harvey, Legora, ElevenLabs).
โข High-agency in ambiguity. You're comfortable being dropped into a fuzzy problem with a customer, a half-formed hypothesis, and a deadline. You scope, build, evaluate, and ship without waiting for someone to hand you the spec.
โข Sweat both ends of the stack. You can move between prompt iteration, eval design, backend services, data modeling, and the customer-facing UI in the same week. You care about the small detailsโevals that actually catch regressions, prompts that fail gracefully, traces that are easy to debug.
Company:
Traba is a technology company that increases the productivity and potential of the industrial supply chain. Founded in 2021, the company is headquartered in New York, USA, with a team of 51-200 employees. The company is currently Growth Stage.