Senior Software Engineer (AI Agents)
About The Position
Traba is building an AI operating system for the industrial supply chain. The Senior Software Engineer (AI Agents) will be a founding member of the Agents team, building the agentic platform and infrastructure that powers Traba's product. The role focuses on production agent harnesses, evaluations, orchestration, model strategy, and systems that synthesize marketplace data and operate within customers' supply chain workflows. The engineer will work closely with the CTO, product team, operators, and customers to take ideas from initial concept through scaled deployment. The role involves spending time with customers and operators to understand their workflows, translating operational needs into durable product, and developing agent systems on frontier language models. It also owns the evaluation discipline and the data, services, APIs, and repeatable deployment patterns needed to integrate agents with internal systems and customer WMS, TMS, and ERP environments.
Requirements
- At least 5 years of software engineering experience.
- At least 1 year shipping LLM- or agent-based features into production.
- Strong Python and/or TypeScript/Node.js skills.
- Experience designing APIs, distributed systems, and data models in PostgreSQL.
- Hands-on experience with production-scale prompt engineering, evaluation frameworks, orchestration patterns, and frontier model APIs.
- Excellent written and verbal communication skills, including the ability to run customer workshops and write design documents.
Nice To Haves
- A track record of building in fast, ambiguous environments.
- Experience at a vertical AI, AI-agent, forward-deployed, or data-product company.
Responsibilities
- Embed with customers and operators to understand supply chain operations and build agents that take meaningful work off their plate.
- Build production agent systems on frontier LLMs, including tool use, sub-agents, retrieval, structured outputs, MCP servers, and orchestration.
- Own agent evaluation, including datasets from real traces, rubrics and graders, experiments, and measurable improvements.
- Architect the data, services, and APIs required by the agent layer, integrating internal systems with customer WMS, TMS, and ERP environments.
- Codify repeatable deployment patterns to make each customer rollout faster.
- Design, build, evaluate, and ship solutions to ambiguous customer problems.
Benefits
- Start-up equity.
- Competitive salary.
- 100% paid health, dental, and vision coverage.
- Dinner provided via DoorDash, free DashPass, and a stocked kitchen for New York employees.
- Commuter benefit.
- Gympass benefit.
- One Medical membership.
- HSA via Optum.
- Talkspace.
- HealthAdvocate.
- Teledoc Health.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
