Staff Software Engineer

Responsibilities

• Architect Traba's agent platform end-to-end—the orchestration runtime, the eval and observability stack, the integration layer to internal services and customer systems (WMS/TMS/ERP), and the patterns that every agent we ship is built on.
• Own the foundational technical decisions for this part of the business: model strategy, agent harness design, retrieval and memory architecture, tool/MCP surface, and how we measure quality.
• Spend real time in the field with customers and operators. Translate what you see into durable product and codify repeatable deployment patterns so each rollout compounds on the last.
• Build evaluation as a real engineering discipline—datasets, graders, regression suites, experimentation tooling—so we ship agent improvements with the same confidence we'd ship backend code.
• Hire and mentor the engineers who will build alongside you. Set the technical standards that define what “good” looks like for applied AI at Traba.
• Partner with the CTO, product, and ops leadership on the multi-year platform roadmap.

Requirements

• 7+ years of professional software engineering experience, with 2+ years of hands-on production work on LLM- or agent-based systems.
• Deep proficiency in Python and/or TypeScript/Node.js, and a strong track record designing distributed systems, APIs, and data models on PostgreSQL and modern messaging (Kafka, RabbitMQ, or equivalent).
• Demonstrated ownership of a non-trivial production agent system: orchestration, tool use, retrieval, evals, observability, cost/latency tuning, and the operational lessons that come with all of it.
• Background that maps to at least one of: vertical AI / AI-agent company, Palantir/Scale-style FDE, or an AI-native data company (Hex, Omni, dbt). Bonus for supply chain, logistics, or industrial operations exposure.
• A history of leading 0-to-1 product builds in early-stage environments—comfortable with ambiguity, pragmatic about tradeoffs, and high-agency by default.
• Strong written and verbal communication. You can run a customer workshop, write the design doc, and recruit your future teammates—often in the same week.
• A genuine excitement about industrial operations and the chance to use applied AI to make them dramatically better.

Nice-to-Haves

• Prior experience at a vertical AI or AI-agent company (Nash, HappyRobot, Augment, Pallet, Harvey, Legora, ElevenLabs), Palantir/Scale-style FDE, or an AI-native data company (Hex, Omni, dbt).
• Supply chain, logistics, or industrial operations exposure.