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This position was posted on May 21, 2026 and is likely no longer accepting applications. We've kept it here for historical reference. Check out the similar jobs below!

Job Overview
Location
New York City, NY
Job Type
Full-time
Category
Software Engineer
Date Posted
May 21, 2026
Full Job Description
đź“‹ Description
- • Architect and own the end-to-end design of Traba’s agentic platform, including the orchestration runtime, evaluation and observability stack, and integration layer with customer systems (WMS/TMS/ERP) and internal services.
- • Define and implement foundational technical decisions for the agent layer: model strategy, agent harness design, retrieval and memory architecture, tool/MCP surface, and quality measurement frameworks.
- • Ship and iterate on production agent systems that operate autonomously within industrial workflows, ensuring reliability, scalability, and real-world impact across manufacturing and logistics facilities.
- • Build evaluation as a rigorous engineering discipline by developing datasets, grader systems, regression suites, and experimentation tooling to validate agent performance with the same rigor applied to backend code.
- • Spend time on-site at customer locations to observe warehouse and facility operations firsthand, translating operational nuances into durable product designs and repeatable deployment patterns.
- • Lead the hiring, mentoring, and technical guidance of engineers joining the Agents team, establishing clear standards for what "good" looks like in applied AI at Traba.
- • Select and integrate foundational tools and model providers, designing prompt versioning systems, observability pipelines, and cost/latency tuning mechanisms to optimize agent behavior in production.
- • Collaborate directly with the CTO, product, and operations leadership to shape the multi-year platform roadmap, anticipating future needs of the agent layer and building ahead of demand.
- • Design and maintain clean, maintainable abstractions for agent interactions, avoiding over-engineering while ensuring extensibility across diverse operational workflows and customer environments.
- • Own the operational lifecycle of agent systems, including on-call responsibilities, incident response, and iterative improvements informed by real-world usage and failure modes.
- • Translate deep domain knowledge of industrial operations—such as WMS quirks, shift cadence, and exception handling—into architectural decisions that prioritize practicality and scalability over theoretical elegance.
- • Drive 0-to-1 product development in an early-stage environment, navigating ambiguity with pragmatism, making high-leverage technical tradeoffs, and leading teams through uncertainty with clear execution.
- • Communicate complex technical concepts effectively through design docs, customer workshops, and team alignment sessions, ensuring cross-functional understanding and buy-in.
- • Champion a culture of high-agency engineering by setting the tone for ownership, quality, and craftsmanship in every piece of code, eval, and deployment pattern the team produces.
- • Establish and evolve best practices for prompt engineering, fine-tuning, retrieval, and code-based agent logic, with clear rationale for where and why each technique is applied.
- • Integrate real-time data flows from millions of shifts and enterprise systems to enable agents that dynamically respond to changing operational conditions in live facilities.
- • Build systems that leverage Traba’s proprietary data and deep enterprise relationships to activate workers on the platform as agents executing tasks within customers’ existing operational systems.
- • Ensure agent systems are designed for composability, allowing future agents to build upon shared patterns, tools, and evaluation standards without duplicating effort or introducing technical debt.
- • Maintain a relentless focus on productivity gains for industrial customers, measuring success through operational outcomes, not just model metrics.
🎯 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 operational lessons from live deployment.
- • Background in vertical AI / AI-agent company, Palantir/Scale-style FDE, or an AI-native data company (Hex, Omni, dbt).
- • History of leading 0-to-1 product builds in early-stage environments, with comfort navigating ambiguity, making pragmatic tradeoffs, and exhibiting high agency.
- • Strong written and verbal communication skills, evidenced by ability to conduct customer workshops, write design docs, and recruit engineering talent.
🏖️ 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
- • Gympass Benefit
Skills & Technologies
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About Traba Inc.
Traba Inc. operates a labor marketplace that connects light-industrial businesses with vetted hourly workers. The platform schedules shifts in warehouses, distribution centers, and event venues, handling worker screening, onboarding, and payments. Employers post open shifts and receive matched, pre-qualified workers, while employees gain flexible, same-day pay opportunities. Traba uses real-time analytics to forecast demand, reduce no-shows, and minimize overtime costs for businesses across the United States.
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