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# AI Agent Engineer

- **Company:** Traba Inc.
- **Location:** United States
- **Experience:** Expert
- **Salary:** $200,000.0
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Software Design Documents, Distributed Systems, PostgreSQL, Node.Js, Software Engineering, TypeScript, Large Language Models, Prompt Engineering
- **Published:** September 10, 2026
- **Apply:** https://startup.jobs/senior-software-engineer-ai-agents-traba-2-9959264

## About the Role

* 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., * 5+ years of software engineering, with 1+ year shipping LLM- or agent-based features into production.
 * Strong in Python and/or TypeScript/Node.js, and comfortable 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.
 * A track record of building in fast, ambiguous environments-ideally at a vertical AI, AI-agent, forward-deployed, or data-product company.
 * Excellent written and verbal communication-you can run a customer workshop in the morning and write a clean design doc in the afternoon.

## Description

* 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 traces, rubrics and graders, experiments, and improvements you can prove move the needle.
 * Architect the data, services, and APIs the agent layer depends on-integrating our internal systems with customers' WMS, TMS, and ERP environments.
 * Codify repeatable deployment patterns so each new customer rollout is faster than the last.


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