Jobs at Traba

Build and ship applied AI features across web and mobile: integrate agents/LLMs into React/React Native apps and Node.js/Postgres APIs, design real-time matching and vetting systems, partner with design, and own product-engineering work on an early-stage team.

Design, build, and ship production AI agents and their infrastructure on frontier LLMs. Embed with customers to create agent harnesses, orchestration, integrations (WMS/TMS/ERP), and evaluation pipelines. Own data, services, APIs, and repeatable deployment patterns to scale agent deployments.

Build and own production AI agents and their infrastructure: harnesses, evals, orchestration, and model strategy. Embed with customers, design agent integrations with WMS/TMS/ERP, ship reliable agentic features on frontier LLMs, and codify repeatable deployment patterns.

Build and ship core backend and platform systems that integrate AI agents and frontier models to automate staffing workflows. Own architecture, real-time matching, autonomous vetting pipelines, and backend performance, reliability, and scalability. Partner with leadership to set technical standards and iterate the roadmap across full-stack and infrastructure priorities.

Build Traba's product by applying frontier models and AI agents across the stack to automate vetting, matching, and fulfillment. Lead frontend and backend development, architect real-time matching and autonomous vetting pipelines, and design distributed systems and APIs. Own product surfaces end-to-end, mentor engineers, and partner with CTO, product, and design to ship scalable, reliable automation for the staffing marketplace.

Lead product strategy and build Traba's agentic AI platform. Embed with customers to define workflows, ship 0-to-1 autonomous agent products, write requirements, prototype rapidly, define evaluation and quality frameworks, and partner closely with engineering, ML, and design to improve reliability and performance.

Own and evolve the staffing product at the center of Traba's two-sided marketplace. Define strategy, write product requirements, partner with engineering, design and data to improve matching, liquidity, fulfillment and operational tooling. Use data and on-site user research to launch and iterate scalable systems across customers and regions, collaborating closely with operations, field teams, and leadership.

Lead measurement and modeling for an agent platform: define agent quality metrics, build evaluation and experimentation infrastructure, develop statistical and ML models to diagnose failure modes and improve unit economics, and partner with engineering, product, and operations. Oversee data warehouse and analytics infrastructure, provide self-service tools and AI-assisted analytics for Operations, and mentor scientists and analysts to set standards for rigorous experimentation and measurement.

Lead and scale Traba’s operational systems, drive serviceability and marketplace/account performance, solve high-impact operational problems, build processes/tooling, partner cross-functionally, and present data-driven insights to executives and the board.

Join the founding engineering team to build Traba’s product on top of AI agents. Apply frontier models and agents across worker and business apps, implement React Native and React/TypeScript front-ends, build Node.js/PostgreSQL APIs, architect real-time matching and automated vetting systems, and partner with design to ship polished UIs.