Staff Software Engineer (AI Agents)
trabaBrooklyn (NY)
Staff Software Engineer (AI Agents)
Posted today
trabaBrooklyn (NY)
SENIORITY
Lead
About the role
Overview:
As a founding member of the Agents team, you will architect and build Traba’s end-to-end AI agent platform that orchestrates data, interacts with client operations systems, and drives autonomous workflows in warehouses and logistics. You’ll lead foundational decisions on harnesses, model strategy, and evals, while shaping the product to scale from 0 to 1. This role blends hands-on engineering, customer immersion, and leadership to deliver reliable, high-impact agent systems. Compensation / Benefits Start-up equity Competitive Salary 100% Paid health, dental & vision Dinner via DoorDash and stocked kitchen Commuter benefit Gympass Benefit
Responsibilities:
Architect and own the agent platform end-to-end (orchestration, eval/observability, and integration with WMS/TMS/ERP) Make foundational technical decisions on model strategy, harness design, retrieval/memory architecture, and tools surface Engage with customers on-site and translate insights into durable patterns for deployment Build evaluation as engineering discipline (datasets, graders, regression suites, experimentation tooling) Hire and mentor engineers, setting quality standards and onboarding new teammates Collaborate with CTO, product, and operations on the multi-year platform roadmap
Key requirements:
7+ years of software engineering 2+ years of hands-on production work on LLM- or agent-based systems Strong Python and/or TypeScript/Node.js Experience designing distributed systems, APIs, and data models on PostgreSQL and messaging (Kafka, RabbitMQ, or equivalent) Ownership of a production agent system (orchestration, tool use, retrieval, evals, observability, cost/latency tuning) Experience with 0-to-1 builds in early-stage environments Strong written and verbal communication customer workshop facilitation clear design documentation recruiting and mentoring teammates Python TypeScript/Node.js distributed systems design
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