Traba
AI operating layer for the industrial supply chain
SeniorSoftwareEngineer(Agents)
“Senior Software Engineer (Agents) at Traba. Skills: Senior Software Engineering, LLM- or agent-based features, Python, TypeScript/Node.js, APIs, distributed systems, data models, PostgreSQL, Modern agent stack, Prompt engineering, Evaluation frameworks, Agent orchestration patterns, Frontier model APIs. Embed with our customers and operators to deeply understand how supply chains run today—then design and ship agents that take meaningful work off their plate. Build production agent systems on to”
What You'll Achieve.
Drive real productivity gains and transforms how the global supply chain operates at scale; Take meaningful work off their plate; Ship improvements that you can prove move the needle; Each new customer rollout is faster and more reliable than the last
Industry & Context.
Builder with an AI operator's instinct; Think in terms of capability, reliability, and unit economics, not just “does the model say the right thing.”; High-agency in ambiguity; Comfortable being dropped into a fuzzy problem with a customer, a half-formed hypothesis, and a deadline
Embed deeply in our customers' operations
What They're Looking For.
Must Have
5+ years of professional software engineering experience, at least 1+ year shipping LLM- or agent-based features into production, proficiency in Python and/or TypeScript/Node.js, comfort designing APIs, distributed systems, and data models in PostgreSQL, 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.), A track record of building and shipping in fast, ambiguous environments—ideally at an early-stage vertical AI, AI-agent, FDE-style (Palantir, Scale), or data-product company (Hex, Omni, dbt), Excellent written and verbal communication, A genuine excitement about industrial operations and the chance to use applied AI to make them dramatically better
Nice to Have
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)
What You'll Do.
Embed with our customers and operators to deeply understand how supply chains run today—then design and ship agents that take meaningful work off their plate
Build production agent systems on top of frontier LLMs: tool use
and the orchestration layer that ties them together
Own evaluation as a first-class discipline
Architect and build the data
and APIs the agent layer depends on—integrating with our internal systems and our customers' WMS
Codify repeatable deployment patterns so each new customer rollout is faster and more reliable than the last
Be a key player on a scrappy founding team—contributing to product direction
and the engineering culture as we grow
How You'll Work.
Team & Collaboration
Partner closely with our CTO, product, and our operators to take 0-to-1 ideas to scaled deployments; Be a key player on a scrappy founding team
Communication Scope
Excellent written and verbal communication; Run a customer workshop in the morning and write a clean design doc in the afternoon
Process & Methodology
Scope, build, evaluate, and ship without waiting for someone to hand you the spec
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