Senior Software Engineer (AI Agents)
About The Position
Traba is building an AI operating system for the industrial supply chain. The Senior Software Engineer will be a founding member of the Agents team, building the AI agents, harnesses, evaluations, orchestration, and model strategy that support Traba’s product. The role focuses on an agentic platform that synthesizes marketplace data and operates within customers’ supply chain workflows. The engineer will work closely with customers, operators, the CTO, and product teams to take early ideas from discovery through scaled deployments. The role involves embedding with customers to understand their operations, designing and shipping production agent systems on frontier models, and turning field learnings into durable product. The engineer will build agent infrastructure and integrations with customer and internal systems, and establish repeatable patterns that make future deployments faster.
Requirements
- At least 5 years of software engineering experience.
- At least 1 year of experience shipping LLM- or agent-based features into production.
- Strong proficiency in Python and/or TypeScript/Node.js.
- 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
- Work with customers and operators to understand supply chain operations and build agents that reduce their workload.
- Build production agent systems using frontier LLMs, including tool use, sub-agents, retrieval, structured outputs, MCP servers, and orchestration.
- Own evaluation practices, including datasets from real traces, rubrics, graders, experiments, and measurable improvements.
- Architect data, services, and APIs for the agent layer, integrating internal systems with customers’ WMS, TMS, and ERP environments.
- Create repeatable deployment patterns to accelerate each customer rollout.
- Partner with the CTO, product team, and operators to take ideas from initial concept to scaled deployment.
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
