Senior Software Engineer (AI Agents)

About the role

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.

Responsibilities

• 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.
• Partner closely with our CTO, product, and our operators to take 0-to-1 ideas to scaled deployments.

Requirements

• Builder with an AI operator's instinct. You've shipped real product on top of LLMs—not just chat wrappers.
• Domain-immersed. You enjoy time with the people who do the work—learning an industry's vocabulary, edge cases, and operational tempo—and let that shape what you build.
• High-agency in ambiguity. Dropped into a fuzzy customer problem with a half-formed hypothesis and 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.

Qualifications

• 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.

Skills

• Experience with LLMs and agent-based systems.
• Knowledge of supply chain operations and processes.
• Ability to design and implement production-scale AI agent systems.
• Experience with evaluation frameworks and metrics.

Benefits

• Start-up equity
• Competitive Salary
• 100% Paid health, dental & vision coverage
• Dinner Provided via DoorDash, free DashPass & stocked kitchen for NY employees
• Commuter benefit
• One Medical Membership
• Gympass Benefit
• HSA via Optum
• Talkspace
• HealthAdvocate
• Teledoc Health

Pay

The compensation range for this position is set between $200,000 and $240,000, reflecting our market analysis and other relevant considerations. However, exceptions may be made for candidates with qualifications that significantly differ from those outlined in the job description.

Schedule

Full-time, remote position.