Staff Software Engineer (AI Agents)

🏢 Summary: Staff Applied Agent Engineer role focused on architecting and leading the development of a production-grade agentic AI platform that integrates with customer operational systems and autonomously executes workflows in industrial environments. 🗂️ Requirements: 7+ years professional software engineering experience, 2+ years hands-on production experience with LLM or agent-based systems, Proficiency in Python and/or TypeScript/Node.js, Experience designing distributed systems and APIs, Experience with PostgreSQL and modern messaging systems, Ownership of production agent systems including orchestration, retrieval, evals, and observability, Experience building and deploying 0-to-1 products in early-stage environments 📃 Skills: Python, TypeScript, Node.js, LLM, PostgreSQL, Kafka, RabbitMQ, APIs, DistributedSystems, Retrieval, Orchestration, Observability, ERP, WMS, TMS 🏢 Description: Traba is the AI operating layer for the industrial supply chain. We started in workforce—temp staffing, the biggest operational pain point for the manufacturing and logistics customers we serve—and used it to embed ourselves inside their daily operations and create a far better customer experience through technology. Now those same customers are pulling us beyond staffing into the broader operational workflows that run their facilities. That foundation gave us proprietary data from millions of shifts and deep enterprise relationships. But our edge is more than data: by connecting to the systems running across every facility and activating the workers already on our platform to execute against them, we are building applied AI that drives real productivity gains and transforms how the global supply chain operates at scale.We are backed by Founders Fund, Khosla Ventures, and General Catalyst. We are seeking an entrepreneurial Staff Applied Agent Engineer to join as a founding member of the Agents team and lead the development of Traba's agentic platform—the layer that synthesizes the data flowing through our marketplace, talks to our customers' operational systems, and acts autonomously inside the workflows that run their facilities. You'll partner with our CTO to make the core architectural calls on how agents are built, evaluated, and deployed at Traba; set the bar for quality and reliability; and bring the outside perspective on agent-building, FDE-style customer immersion, and data-product craft that this 0-to-1 product needs. About YouYou've already built agents that survived contact with reality. You've shipped agent systems into production at meaningful scale—designed the harness, picked the orchestration patterns, owned the evals, and lived with the on-call. You have strong opinions on where to draw the line between prompting, fine-tuning, retrieval, and code, and why.Domain depth meets technical breadth. You're as comfortable in a warehouse on a customer site as you are in a design doc. You learn an industry's actual operations—WMS quirks, shift cadence, exception handling—and let that knowledge shape architecture decisions. Ideal: 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).Set direction by shipping. You raise the engineering bar by writing the canonical example, not just the doc. You pick the foundational tools, integrate the right model providers, design the eval infrastructure—and you bring others along.Sweat the small stuff at staff scale. You have strong opinions on design patterns, eval datasets, prompt versioning, observability for agents, and the difference between a clean abstraction and an over-engineered one. You understand that how we do one thing is how we do everything.You WillArchitect 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. Think ahead to what the company and the agent layer will need a year or two from now, and start building it today.You Have7+ 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.Benefits Start-up equity Competitive Salary 100% Paid health, dental & vision coverage️ Dinner Provided via DoorDash, free DashPass & stocked kitchen for NY employees Commuter benefit Gympass Benefit✚✚ Additional: One Medical Membership, Gympass, HSA via Optum, Talkspace, HealthAdvocate, Teledoc HealthSalary Range DetailsThe compensation range for this position is set between $240,000 and $300,000, reflecting our market analysis and other relevant considerations. However, exceptions may be made for candidates with qualifications that significantly differ from those outlined in the job description.Equal Opportunity EmployerTraba is dedicated to promoting Equal Opportunity employment practices. We evaluate all applicants without discrimination based on race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other characteristics that are legally protected by local, state, or federal regulations. We encourage applicants from a variety of backgrounds, experiences, and skill sets.Our ValuesDream Big - We are on a path to change the world for the better. We create and communicate a bold direction that inspires a life-changing vision. We don’t sacrifice long-term value for short-term results.Olympian’s Work Ethic - Changing the world never comes easy. We work harder, longer, and smarter, not just two out of three. We put everything we have on the field.Growth Mindset - We confront the toughest challenges head-on and persevere. Sometimes we fail, but we brush ourselves off, adapt, learn, and push forward with resilience.Customer Obsession - We go the extra mile for our workers and businesses. We remain focused on delivering high-quality products and services that solve this massive and overlooked industries’ problemsWhat is light industrial labor?Light industrial flexible staffing is a $50B labor market that encompasses entry-level jobs in warehouses & distribution centers. These workers pack boxes, load trucks, and manage warehouse operations to keep supply chains running at peak efficiency.Job Applicant Privacy NoticeCompensation Range: $240K - $300K

🏢 Summary: Senior AI Agent Engineer role focused on building and deploying production-grade AI agents for supply chain and logistics workflows using frontier LLMs. The position involves designing agent infrastructure, orchestration systems, evaluations, and integrations with enterprise operational systems while working closely with customers and internal teams. The offer includes competitive salary, equity, and comprehensive health benefits. 🗂️ Requirements: 5+ years of software engineering experience, 1+ year shipping LLM or agent-based features into production, Strong Python or TypeScript/Node.js skills, Experience designing APIs and distributed systems, Experience with PostgreSQL data models, Hands-on experience with prompt engineering and evaluation frameworks, Experience with orchestration patterns and frontier model APIs, Ability to build in fast-paced and ambiguous environments, Strong written and verbal communication skills 📃 Skills: Python, TypeScript, Node.js, PostgreSQL, LLMs, APIs, MCP, ERP, WMS, TMS 🏢 Description: Traba is building an agentic AI platform for supply chain and industrial operations, expanding beyond workforce staffing into autonomous operational workflows powered by AI. We're seeking a Senior AI Agent Engineer to join as a founding member of the Agents team and build the next layer of the product—an agentic platform that synthesizes operational data and operates autonomously inside customers' supply chain workflows. You will build the AI agents themselves, including harnesses, evaluations, orchestration systems, and model strategies that power the broader product. You will embed deeply in customer operations, design and ship production agent harnesses on top of frontier models, and turn operational insights into scalable product solutions. The role includes close collaboration with leadership, product teams, and operators to take ideas from concept to scaled deployment. About You - Builder with an AI operator's instinct - Experience shipping real products built on top of LLMs - Experience designing agent harnesses, structured tools, evaluations, and prompts using production traces - Ability to think in terms of capability, reliability, and unit economics - Interest in learning operational workflows and industry-specific edge cases - Ability to scope, build, evaluate, and ship products independently in ambiguous environments - Comfortable working across prompts, evaluations, backend services, and customer-facing UI - Focus on debugging, regression prevention, and trace quality You Will - Embed with customers and operators to understand supply chain workflows and design AI agents that automate operational work - Build production agent systems using frontier LLMs, including tool use, sub-agents, retrieval, structured outputs, MCP servers, and orchestration systems - Own evaluation processes using datasets from real traces, grading rubrics, experiments, and measurable improvements - Architect data services and APIs integrating internal systems with customer WMS, TMS, and ERP platforms - Create repeatable deployment patterns to improve rollout speed for future customers You Have - 5+ years of software engineering experience - 1+ year shipping LLM- or agent-based features into production - Strong skills in Python and/or TypeScript/Node.js - Experience designing APIs, distributed systems, and PostgreSQL data models - Hands-on experience with prompt engineering, evaluation frameworks, orchestration patterns, and frontier model APIs - Experience working in fast, ambiguous environments - Strong written and verbal communication skills Benefits - Start-up equity - Competitive salary - 100% paid health, dental, and vision coverage - Dinner provided via DoorDash and free DashPass for NY employees - Commuter benefit - Gympass benefit - One Medical membership - HSA via Optum - Talkspace - HealthAdvocate - Teledoc Health Salary Range - $200,000 - $240,000 Equal Opportunity Employer The company evaluates applicants without discrimination based on legally protected characteristics and encourages applicants from diverse backgrounds and experiences.

🏢 Summary: Senior Applied Agent Engineer role focused on building and deploying production-grade AI agent systems that operate autonomously within industrial supply chain workflows. The position involves designing agent harnesses on top of frontier LLMs, integrating with enterprise systems, and owning evaluation and deployment at scale. You will work closely with customers to turn operational insights into scalable, reliable AI-driven products. 🗂️ Requirements: 5+ years of professional software engineering experience, At least 1+ year shipping LLM- or agent-based features to production, Strong proficiency in Python and/or TypeScript/Node.js, Experience designing APIs, distributed systems, and data models in PostgreSQL, Hands-on experience with prompt engineering in production environments, Experience with evaluation frameworks for LLMs or agents, Experience building agent orchestration systems, Experience integrating with external enterprise systems via APIs, Ability to build and maintain backend services for AI systems 📃 Skills: Python, TypeScript, Node.js, PostgreSQL, LLMs, Anthropic, OpenAI, Langfuse, Braintrust, APIs, DistributedSystems, PromptEngineering, AgentOrchestration, Retrieval, MCP, WMS, TMS, ERP 🏢 Description: Traba is the AI operating layer for the industrial supply chain. We started in workforce—temp staffing, the biggest operational pain point for the manufacturing and logistics customers we serve—and used it to embed ourselves inside their daily operations and create a far better customer experience through technology. Now those same customers are pulling us beyond staffing into the broader operational workflows that run their facilities. That foundation gave us proprietary data from millions of shifts and deep enterprise relationships. But our edge is more than data: by connecting to the systems running across every facility and activating the workers already on our platform to execute against them, we are building applied AI that drives real productivity gains and transforms how the global supply chain operates at scale.We are backed by Founders Fund, Khosla Ventures, and General Catalyst. We are seeking an entrepreneurial Senior Applied Agent Engineer to join as a founding member of the Agents team and help us build the next layer of Traba's product—an agentic platform that synthesizes the data flowing through our marketplace and operates autonomously inside our customers' supply chain workflows. You'll embed deeply in our customers' operations, design and ship production agent harnesses on top of frontier models, and turn what you learn in the field into durable product. You will partner closely with our CTO, product, and our operators to take 0-to-1 ideas to scaled deployments. About YouBuilder with an AI operator's instinct. You've shipped real product on top of LLMs—not just chat wrappers. You've designed agent harnesses, structured tools, written evals, and tuned prompts against production traces. You think in terms of capability, reliability, and unit economics, not just “does the model say the right thing.”Domain-immersed. You enjoy spending time with the people who actually do the work. You learn an industry's vocabulary, edge cases, and operational tempo, and let that knowledge shape what you build. Bonus points if you've done this for a vertical AI or AI-agent company before (e.g., Nash, HappyRobot, Augment, Pallet, Harvey, Legora, ElevenLabs).High-agency in ambiguity. You're comfortable being dropped into a fuzzy problem with a customer, a half-formed hypothesis, and a deadline. You scope, build, evaluate, and ship without waiting for someone to hand you the spec.Sweat both ends of the stack. You can move between prompt iteration, eval design, backend services, data modeling, and the customer-facing UI in the same week. You care about the small details—evals that actually catch regressions, prompts that fail gracefully, traces that are easy to debug.You WillEmbed with our customers and operators to deeply understand how supply chains run today—then design and ship agents that take meaningful work off their plate.Build production agent systems on top of frontier LLMs: tool use, sub-agents, retrieval, structured outputs, MCP servers, and the orchestration layer that ties them together.Own evaluation as a first-class discipline. Build datasets from real traces, write rubrics and graders, run experiments, and ship improvements that you can prove move the needle.Architect and build the data, services, and APIs the agent layer depends on—integrating with our internal systems and our customers' WMS, TMS, and ERP environments.Codify repeatable deployment patterns so each new customer rollout is faster and more reliable than the last.Be a key player on a scrappy founding team—contributing to product direction, hiring, and the engineering culture as we grow.You Have5+ years of professional software engineering experience, with at least 1+ year shipping LLM- or agent-based features into production.Strong proficiency in Python and/or TypeScript/Node.js, and comfort designing APIs, distributed systems, and data models in PostgreSQL.Hands-on experience with the modern agent stack: prompt engineering at production scale, evaluation frameworks (e.g., Langfuse, Braintrust, internal harnesses), agent orchestration patterns, and frontier model APIs (Anthropic, OpenAI, etc.).A track record of building and shipping in fast, ambiguous environments—ideally at an early-stage vertical AI, AI-agent, FDE-style (Palantir, Scale), or data-product company (Hex, Omni, dbt).Excellent written and verbal communication—you can run a customer workshop in the morning and write a clean design doc in the afternoon.A genuine excitement about industrial operations and the chance to use applied AI to make them dramatically better.Benefits Start-up equity Competitive Salary 100% Paid health, dental & vision coverage️ Dinner Provided via DoorDash, free DashPass & stocked kitchen for NY employees Commuter benefit Gympass Benefit✚✚ Additional: One Medical Membership, Gympass, HSA via Optum, Talkspace, HealthAdvocate, Teledoc HealthSalary Range DetailsThe compensation range for this position is set between $200,000 and $240,000, reflecting our market analysis and other relevant considerations. However, exceptions may be made for candidates with qualifications that significantly differ from those outlined in the job description.Equal Opportunity EmployerTraba is dedicated to promoting Equal Opportunity employment practices. We evaluate all applicants without discrimination based on race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other characteristics that are legally protected by local, state, or federal regulations. We encourage applicants from a variety of backgrounds, experiences, and skill sets.Our ValuesDream Big - We are on a path to change the world for the better. We create and communicate a bold direction that inspires a life-changing vision. We don’t sacrifice long-term value for short-term results.Olympian’s Work Ethic - Changing the world never comes easy. We work harder, longer, and smarter, not just two out of three. We put everything we have on the field.Growth Mindset - We confront the toughest challenges head-on and persevere. Sometimes we fail, but we brush ourselves off, adapt, learn, and push forward with resilience.Customer Obsession - We go the extra mile for our workers and businesses. We remain focused on delivering high-quality products and services that solve this massive and overlooked industries’ problemsWhat is light industrial labor?Light industrial flexible staffing is a $50B labor market that encompasses entry-level jobs in warehouses & distribution centers. These workers pack boxes, load trucks, and manage warehouse operations to keep supply chains running at peak efficiency.Job Applicant Privacy NoticeCompensation Range: $200K - $240K

🏢 Summary: AI Agent Engineer role focused on building production-grade agentic systems for supply chain workflows using frontier LLMs. The position involves designing agent harnesses, evaluations, orchestration, and integrations with enterprise systems while working closely with customers and internal teams. Candidates will own scalable AI infrastructure and deploy autonomous agents that improve operational productivity. 🗂️ Requirements: 1+ years of software engineering experience, Experience shipping LLM- or agent-based features to production, Strong Python or TypeScript/Node.js skills, Experience designing APIs and distributed systems, Experience with PostgreSQL data models, Hands-on experience with prompt engineering, Experience with evaluation frameworks and orchestration patterns, Experience with frontier model APIs, Ability to work in fast, ambiguous environments, Strong written and verbal communication skills 📃 Skills: Python, TypeScript, Node.js, PostgreSQL, LLMs, APIs, MCP, ERP, WMS, TMS 🏢 Description: Traba is the AI operating layer for the industrial supply chain. We started in workforce—temp staffing, the biggest operational pain point for the manufacturing and logistics customers we serve—and used it to embed ourselves inside their daily operations and create a far better customer experience through technology. Now those same customers are pulling us beyond staffing into the broader operational workflows that run their facilities. That foundation gave us proprietary data from millions of shifts and deep enterprise relationships. By connecting to the systems running across every facility and activating the workers already on our platform to execute against them, we are building applied AI that drives real productivity gains and transforms how the global supply chain operates at scale. You'll build the AI agents themselves—the harnesses, evals, orchestration, and model strategy the rest of Traba's product runs on. We're seeking an entrepreneurial AI Agent Engineer to join as a founding member of the Agents team and build the next layer of Traba's product—an agentic platform that synthesizes the data flowing through our marketplace and operates autonomously inside our customers' supply chain workflows. You will embed deeply in our customers' operations, design and ship production agent harnesses on top of frontier models, and turn what you learn in the field into durable product. You will partner closely with our CTO, product, and operators to take 0-to-1 ideas to scaled deployments. About You - Builder with an AI operator's instinct - Experience shipping real products on top of LLMs - Experience designing agent harnesses, structured tools, evals, and prompts against production traces - Ability to think in capability, reliability, and unit economics - Comfortable learning industry workflows and operational edge cases - High-agency problem solver in ambiguous environments - Ability to move between prompt iteration, eval design, backend services, and customer-facing UI - Focus on evaluation quality, debugging, and regression detection You Will - Embed with customers and operators to understand supply chain workflows - Design and ship agents that automate operational work - Build production agent systems on frontier LLMs - Develop tool use, sub-agents, retrieval, structured outputs, MCP servers, and orchestration systems - Own evaluation systems including datasets, rubrics, graders, and experiments - Architect data, services, and APIs for the agent layer - Integrate internal systems with customer WMS, TMS, and ERP environments - Create repeatable deployment patterns for customer rollouts You Have - 1+ years of software engineering experience - Track record of shipping LLM- or agent-based features to production - Strong Python and/or TypeScript/Node.js skills - Experience designing APIs, distributed systems, and PostgreSQL data models - Hands-on experience with prompt engineering, evaluation frameworks, orchestration patterns, and frontier model APIs - Experience working in fast, ambiguous environments - Excellent written and verbal communication skills Benefits - Start-up equity - Competitive salary - 100% paid health, dental, and vision coverage - Dinner provided via DoorDash and free DashPass for NY employees - Commuter benefit - Gympass benefit - One Medical membership - HSA via Optum - Talkspace - HealthAdvocate - Teledoc Health Salary Range $140,000 - $200,000 Equal Opportunity Employer Traba evaluates applicants without discrimination based on legally protected characteristics and encourages applicants from diverse backgrounds, experiences, and skill sets. Our Values - Dream Big - Olympian’s Work Ethic - Growth Mindset - Customer Obsession

🏢 Summary: Senior AI Agent Engineer role focused on building and deploying production-grade AI agents for supply chain operations using frontier LLMs, orchestration systems, and enterprise integrations. The position involves designing agent infrastructure, evaluation frameworks, and scalable deployment patterns while working closely with customers and internal teams. Candidates will contribute across backend systems, APIs, data models, and customer-facing workflows in a fast-moving environment. 🗂️ Requirements: 5+ years of software engineering experience, 1+ year shipping LLM or agent-based features into production, Strong Python or TypeScript/Node.js skills, Experience designing APIs and distributed systems, Experience with PostgreSQL data models, Hands-on experience with prompt engineering, Experience with evaluation frameworks and orchestration patterns, Experience integrating frontier model APIs, Ability to work in fast-paced ambiguous environments, Strong written and verbal communication 📃 Skills: Python, TypeScript, Node.js, PostgreSQL, LLMs, APIs, MCP, WMS, TMS, ERP 🏢 Description: Traba is the AI operating layer for the industrial supply chain. We started in workforce—temp staffing, the biggest operational pain point for the manufacturing and logistics customers we serve—and used it to embed ourselves inside their daily operations and create a far better customer experience through technology. Now those same customers are pulling us beyond staffing into the broader operational workflows that run their facilities. That foundation gave us proprietary data from millions of shifts and deep enterprise relationships. By connecting to the systems running across every facility and activating the workers already on our platform to execute against them, we are building applied AI that drives real productivity gains and transforms how the global supply chain operates at scale. You'll build the AI agents themselves—the harnesses, evals, orchestration, and model strategy the rest of Traba's product runs on. We're seeking an entrepreneurial Senior AI Agent Engineer to join as a founding member of the Agents team and build the next layer of Traba's product—an agentic platform that synthesizes the data flowing through our marketplace and operates autonomously inside our customers' supply chain workflows. You’ll embed deeply in our customers' operations, design and ship production agent harnesses on top of frontier models, and turn what you learn in the field into durable product. You will partner closely with the CTO, product, and operators to take 0-to-1 ideas to scaled deployments. About You Builder with an AI operator's instinct: - Shipped real products on top of LLMs - Designed agent harnesses, structured tools, written evals, and tuned prompts against production traces - Focus on capability, reliability, and unit economics Domain-immersed: - Enjoy learning industry vocabulary, edge cases, and operational workflows - Build solutions shaped by customer operations High-agency in ambiguity: - Scope, build, evaluate, and ship solutions independently - Comfortable working from incomplete requirements Sweat both ends of the stack: - Work across prompt iteration, eval design, backend services, and customer-facing UI - Care about regression testing and debuggable traces You Will - Embed with customers and operators to understand supply chain workflows - Design and ship agents that automate operational work - Build production agent systems on frontier LLMs using tool use, sub-agents, retrieval, structured outputs, MCP servers, and orchestration - Own evaluation processes including datasets, rubrics, graders, experiments, and measurable improvements - Architect data, services, and APIs integrating internal systems with customer WMS, TMS, and ERP environments - Codify repeatable deployment patterns for customer rollouts You Have - 5+ years of software engineering experience - 1+ year shipping LLM- or agent-based features into production - Strong Python and/or TypeScript/Node.js skills - Experience designing APIs, distributed systems, and PostgreSQL data models - Hands-on experience with prompt engineering, evaluation frameworks, orchestration patterns, and frontier model APIs - Track record in fast, ambiguous environments - Excellent written and verbal communication skills Benefits - Start-up equity - Competitive salary - 100% paid health, dental, and vision coverage - Dinner provided via DoorDash - Free DashPass and stocked kitchen for NY employees - Commuter benefit - Gympass benefit - One Medical Membership - HSA via Optum - Talkspace - HealthAdvocate - Teledoc Health Salary Range - $200,000 - $240,000 Equal Opportunity Employer Traba evaluates all applicants without discrimination based on legally protected characteristics and encourages applicants from diverse backgrounds and experiences. Our Values - Dream Big - Olympian’s Work Ethic - Growth Mindset - Customer Obsession

🏢 Summary: Staff Agent Engineer role focused on architecting and leading the development of an end-to-end AI agent platform that integrates with industrial operational systems and runs production-grade LLM-based agents at scale. The position involves owning model strategy, orchestration, evaluation infrastructure, and system integrations while partnering closely with leadership and customers. This is a senior, 0-to-1 role building reliable, production-ready agent systems that drive operational workflows. 🗂️ Requirements: 7+ years of software engineering experience, 2+ years of hands-on production experience with LLM- or agent-based systems, Strong proficiency in Python and/or TypeScript/Node.js, Experience designing distributed systems, APIs, and data models, Experience with PostgreSQL and modern messaging systems, Proven ownership of production agent systems including orchestration, tool use, retrieval, evals, and observability, Experience leading 0-to-1 builds in early-stage environments, Strong written and verbal communication skills 📃 Skills: Python, TypeScript, Node.js, PostgreSQL, Kafka, RabbitMQ, LLM, APIs, DistributedSystems, Retrieval, Orchestration, Observability, Messaging, ERP, WMS, TMS 🏢 Description: Traba is the AI operating layer for the industrial supply chain. We started in workforce—temp staffing, the biggest operational pain point for the manufacturing and logistics customers we serve—and used it to embed ourselves inside their daily operations and create a far better customer experience through technology. Now those same customers are pulling us beyond staffing into the broader operational workflows that run their facilities. That foundation gave us proprietary data from millions of shifts and deep enterprise relationships. By connecting to the systems running across every facility and activating the workers already on our platform to execute against them, we are building applied AI that drives real productivity gains and transforms how the global supply chain operates at scale. You'll build the AI agents themselves—the harnesses, evals, orchestration, and model strategy the rest of the product runs on. We're seeking an entrepreneurial Staff Agent Engineer to join as a founding member of the Agents team and lead the development of the agentic platform—the layer that synthesizes the data flowing through the marketplace, talks to customers' operational systems, and acts autonomously inside the workflows that run their facilities. You will partner with the CTO to make the core architectural decisions on how agents are built, evaluated, and deployed; set the bar for quality and reliability; and bring perspective on agent-building, customer immersion, and data-product craft. About You You've built agents that survived contact with reality. You've shipped agent systems into production at scale—designed the harness, picked the orchestration patterns, owned the evals, and handled on-call—and you have strong opinions on where to draw the line between prompting, fine-tuning, retrieval, and code. You are comfortable learning an industry's actual operations (WMS quirks, shift cadence, exception handling) and letting that shape architecture. You raise the bar by writing canonical examples, picking foundational tools, integrating model providers, designing eval infrastructure, and setting standards for quality and reliability. You have strong opinions on eval datasets, prompt versioning, observability for agents, and building clean abstractions without over-engineering. You Will Architect the agent platform end-to-end—building the orchestration runtime, eval and observability stack, and integration layer to internal and customer systems (WMS/TMS/ERP). Own foundational technical decisions including model strategy, harness design, retrieval and memory architecture, tool surface, and quality measurement. Spend time in the field with customers and operators, translating operational insights into durable product and repeatable deployment patterns. Build evaluation as a disciplined engineering function—datasets, graders, regression suites, and experimentation tooling. Hire and mentor engineers and set engineering standards. Partner with leadership on the multi-year platform roadmap. You Have 7+ years of software engineering experience, including 2+ years of hands-on production work on LLM- or agent-based systems. Deep expertise in Python and/or TypeScript/Node.js, with experience designing distributed systems, APIs, and data models on PostgreSQL and modern messaging systems (Kafka, RabbitMQ, or equivalent). Demonstrated ownership of production agent systems including orchestration, tool use, retrieval, evaluation, observability, and cost/latency tuning. Background in vertical AI, AI-agent companies, forward-deployed engineering, or AI-native data companies. Bonus for supply chain, logistics, or industrial exposure. Experience leading 0-to-1 builds in early-stage environments. Strong written and verbal communication skills. Benefits Start-up equity. Competitive salary. 100% paid health, dental, and vision coverage. Dinner provided via DoorDash, free DashPass, and stocked kitchen for NY employees. Commuter benefit. Gympass benefit. Additional benefits include One Medical membership, HSA via Optum, Talkspace, HealthAdvocate, and Teladoc Health. Salary Range Details The compensation range for this position is $240,000 to $300,000, with potential exceptions for candidates whose qualifications significantly differ from those outlined. Equal Opportunity Employer The company evaluates all applicants without discrimination based on legally protected characteristics and encourages applicants from diverse backgrounds, experiences, and skill sets.

🏢 Summary: Full-stack engineering role focused on building and integrating AI-driven automation across staffing and operational workflows. The position involves developing scalable frontend and backend systems, applying LLMs and AI agents in production, and owning product features end to end in a fast-paced environment. 🗂️ Requirements: 5+ years of frontend and backend development experience, Experience with TypeScript, Experience with React or React Native, Experience with Node.js or Python, Strong knowledge of APIs, Experience with distributed systems, Experience with PostgreSQL, Experience with Kafka or RabbitMQ, Hands-on experience integrating LLMs or AI agents into production products, Experience shipping scalable products in early-stage environments 📃 Skills: TypeScript, React, ReactNative, Node.js, Python, PostgreSQL, Kafka, RabbitMQ, LLMs, APIs 🏢 Description: Traba is the AI operating layer for the industrial supply chain. We started in workforce—temp staffing, the biggest operational pain point for the manufacturing and logistics customers we serve—and used it to embed ourselves inside their daily operations and create a far better customer experience through technology. Now those same customers are pulling us beyond staffing into the broader operational workflows that run their facilities. That foundation gave us proprietary data from millions of shifts and deep enterprise relationships. But our edge is more than data: by connecting to the systems running across every facility and activating the workers already on our platform to execute against them, we are building applied AI that drives real productivity gains and transforms how the global supply chain operates at scale. We are backed by Founders Fund, Khosla Ventures, and General Catalyst. You'll build Traba's product on top of AI agents—taking frontier models and existing agents and putting them to work across our staffing marketplace to automate the pipeline that sources, vets, matches, and places workers on millions of shifts. (Our AI Agents team builds the agent platform; you apply it everywhere it creates leverage.) This is a product-engineering role first, so you'll go where the priorities are—some quarters that's an agent that automates vetting or matching, others it's a payments flow or platform work. You'll partner with our CTO on architecture and roadmap, and build the platform the rest of the company runs on. About You: - An applier, not a researcher. You take frontier models and existing agents and wire them into real product across the stack—shipping reliable automation rather than owning the orchestration internals. - Voracious learner. You move easily between API design, UX, and deployment infrastructure. - Proven full-stack builder. You have a track record of shipping scalable, performant applications from frontend interfaces to backend distributed systems. You Will: - Apply existing agents and frontier models across the stack—worker app, business app, ops platform, marketplace—to automate vetting, matching, and fulfillment. - Lead frontend and backend development, mentoring other engineers. - Architect and build core systems—real-time matching, autonomous vetting pipelines, distributed systems, and APIs. - Own product surfaces end to end, partnering closely with product and design. You Have: - 5+ years across frontend and backend: TypeScript, React/React Native, and Node.js or Python. - Strong with APIs, distributed systems, PostgreSQL, and messaging (Kafka or RabbitMQ). - Hands-on experience integrating LLMs or agents into real product—prompting, tool wiring, evals. - A track record of shipping scalable products in fast, ambiguous, early-stage environments. 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 - One Medical Membership - HSA via Optum - Talkspace - HealthAdvocate - Teledoc Health Salary Range Details: The compensation range for this position is set between $200,000 and $240,000, reflecting market analysis and other relevant considerations. Equal Opportunity Employer: Traba is dedicated to promoting equal opportunity employment practices. We evaluate all applicants without discrimination based on legally protected characteristics and encourage applicants from a variety of backgrounds, experiences, and skill sets. Our Values: - Dream Big - Olympian’s Work Ethic - Growth Mindset - Customer Obsession

🏢 Summary: Product-focused engineer role building and applying AI agents across a staffing marketplace to automate worker sourcing, vetting, matching, and fulfillment. You will work across mobile, web, and backend systems, partnering closely with the CTO and design to ship reliable, production-grade automation. This is an early-stage, high-ownership position shaping the core AI-driven product platform. 🗂️ Requirements: 3+ years experience with TypeScript, React or React Native, Node.js, and/or PostgreSQL, Experience integrating LLMs or AI agents into production products, or strong willingness to learn, Ability to build across frontend, backend, and APIs, Experience architecting core systems and scalable applications, Comfort working in early-stage environment with high ambiguity and ownership 📃 Skills: TypeScript, React, ReactNative, Node.js, PostgreSQL, LLMs, AI, APIs, JavaScript, SQL 🏢 Description: Traba is the AI operating layer for the industrial supply chain. We started in workforce—temp staffing, the biggest operational pain point for the manufacturing and logistics customers we serve—and used it to embed ourselves inside their daily operations and create a far better customer experience through technology. Now those same customers are pulling us beyond staffing into the broader operational workflows that run their facilities. That foundation gave us proprietary data from millions of shifts and deep enterprise relationships. By connecting to the systems running across every facility and activating the workers already on our platform to execute against them, we are building applied AI that drives real productivity gains and transforms how the global supply chain operates at scale. We are backed by Founders Fund, Khosla Ventures, and General Catalyst. Description You'll build Traba's product on top of AI agents—taking frontier models and existing agents and putting them to work across our staffing marketplace to automate the pipeline that sources, vets, matches, and places workers on millions of shifts. (Our AI Agents team builds the agent platform; you apply it everywhere it creates leverage.) This is a product-engineering role first, so you'll go where the priorities are: some weeks that's wiring up an agent that automates vetting or matching, others it's a payments flow or UI work. You'll join the founding team, partner with our CTO on the product roadmap, own product decisions, and help build our foundational tech platform. About You: An applier, not a researcher. You take frontier models and existing agents and wire them into real product across the stack—you care about shipping reliable automation, not owning the orchestration internals. And you don't need every task to be an AI task: you take the highest-priority problem, model or not. Voracious learner. You explore new languages and frameworks happily, and can talk product with a designer one minute and infrastructure with a tech lead the next. Strong front-end chops. You have experience with (or a real desire to learn) React Native, and you love building performant apps users enjoy. You Will: - Apply existing agents and frontier models across the stack—worker app, business app, ops platform, marketplace—to automate vetting, matching, and fulfillment. - Write and review high-quality code across our React Native app, React/TypeScript web apps, and Node.js/PostgreSQL APIs. - Architect core systems—from real-time matching to autonomous worker-vetting pipelines powered by ML and agents. - Partner with design to ship polished, intuitive UIs. You Have: - 3+ years with TypeScript, React/React Native, Node.js, and/or PostgreSQL. - Experience integrating LLMs or agents into real product—prompting, tool wiring—or a clear drive to learn. - Comfort in an early-stage team: ambiguity, self-direction, and fast iteration. 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 - One Medical membership - HSA via Optum - Talkspace - HealthAdvocate - Teledoc Health Salary Range Details The compensation range for this position is set between $140,000 and $200,000, reflecting market analysis and other relevant considerations. Exceptions may be made for candidates with qualifications that significantly differ from those outlined in the job description. Equal Opportunity Employer We evaluate all applicants without discrimination based on race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other characteristics that are legally protected by local, state, or federal regulations. We encourage applicants from a variety of backgrounds, experiences, and skill sets. Our Values Dream Big - We create and communicate a bold direction that inspires a life-changing vision and focus on long-term value. Olympian’s Work Ethic - We work harder, longer, and smarter, putting everything we have into changing the world. Growth Mindset - We confront tough challenges, adapt, learn, and push forward with resilience. Customer Obsession - We go the extra mile to deliver high-quality products and services that solve critical industry problems.

🏢 Summary: Full stack product engineer role focused on building and scaling core web and mobile applications, distributed systems, and AI-powered operational tools for industrial staffing workflows. The position involves leading frontend and backend development, making architectural decisions, and delivering scalable, high-performance systems in a fast-paced startup environment. 🗂️ Requirements: 5+ years experience in frontend and backend development, Proficiency in Typescript and Javascript, Strong experience with React and React Native, Experience with Node.js or Python, Experience building APIs and distributed systems, Experience with client-side state management, Experience with Docker and CI/CD pipelines, Experience with PostgreSQL databases, Experience with messaging systems, Ability to design and build scalable web and mobile applications 📃 Skills: Typescript, Javascript, React, ReactNative, Node.js, Python, PostgreSQL, RabbitMQ, Kafka, Docker, GithubActions, Datadog, APIs, DistributedSystems, CI/CD 🏢 Description: Traba is the AI operating layer for the industrial supply chain. We started in workforce—temp staffing, the biggest operational pain point for the manufacturing and logistics customers we serve—and used it to embed ourselves inside their daily operations and create a far better customer experience through technology. Now those same customers are pulling us beyond staffing into the broader operational workflows that run their facilities. That foundation gave us proprietary data from millions of shifts and deep enterprise relationships. But our edge is more than data: by connecting to the systems running across every facility and activating the workers already on our platform to execute against them, we are building applied AI that drives real productivity gains and transforms how the global supply chain operates at scale.We are backed by Founders Fund, Khosla Ventures, and General Catalyst.We are seeking an experienced and entrepreneurial full stack product engineer to join our founding team to help build our core suite of products—mobile apps for both workers & businesses, and web platforms for our business customers and internal Ops team. You'll work closely with our CTO to make key architectural decisions, iterate on the product roadmap, and build the foundational tech platform that will scale over the next several years.About You:Voracious Learner: You love exploring new areas, technologies, languages, and frameworks. You can seamlessly switch between discussing API design, user experience, and deployment infrastructure.Value Clear Communication: You prioritize clear communication, planning, and providing transparent, frequent feedback across the team.Detail-Oriented: You care about the small details, whether it's design patterns or tabs vs. spaces, and understand how everything contributes to the larger success of the product.Experienced in Building Full Stack Systems: You have a strong track record of building and shipping scalable, performant applications from frontend user interfaces to backend distributed systems.You Will:Lead the development of both frontend and backend applications, guiding and mentoring other engineers when necessary.Architect the development of our core systems—from real-time job matching algorithms to autonomous worker vetting pipelines powered by ML and AI agents.Design, architect, and build scalable web and mobile applications, distributed systems, and APIs to meet the growing needs of the business.Work closely with the product and design teams to create a seamless user experience while maintaining high standards for UI/UX.Establish and promote best practices for code reusability, performance, and build processes across both the frontend and backend.Implement systems to monitor application health and performance, helping the team understand user experience and resolve any issues proactively.Be a key player on a scrappy founding team, contributing to the future of flexible light industrial staffing.You Have:5+ Years of Experience in both frontend and backend technologies, specifically Typescript/Javascript, React/React Native, and Node.js or Python.Strong proficiency in building APIs, distributed systems, and client-side state management, along with experience with tools like Docker, Github Actions, and Datadog.A demonstrated ability to ship scalable, high-quality products in a fast-paced environment.Proficiency in databases like PostgreSQL and messaging systems such as RabbitMQ or Kafka.Previous experience working in early-stage engineering teams, thriving in ambiguity, and showing a self-starter attitude.A genuine passion for contributing to meaningful work, helping people find flexible job opportunities that fit their lives.Benefits: Start-up equity Competitive Salary 100% Paid health, dental & vision coverage️ Dinner Provided via DoorDash, free DashPass & stocked kitchen for NY employees Commuter benefit Gympass Benefit✚✚ Additional: One Medical Membership, Gympass, HSA via Optum, Talkspace, HealthAdvocate, Teledoc HealthSalary Range DetailsThe compensation range for this position is set between $200,000 and $240,000, reflecting our market analysis and other relevant considerations. However, exceptions may be made for candidates with qualifications that significantly differ from those outlined in the job description.Equal Opportunity EmployerTraba is dedicated to promoting Equal Opportunity employment practices. We evaluate all applicants without discrimination based on race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other characteristics that are legally protected by local, state, or federal regulations. We encourage applicants from a variety of backgrounds, experiences, and skill sets.Our ValuesDream Big - We are on a path to change the world for the better. We create and communicate a bold direction that inspires a life-changing vision. We don’t sacrifice long-term value for short-term results.Olympian’s Work Ethic - Changing the world never comes easy. We work harder, longer, and smarter, not just two out of three. We put everything we have on the field.Growth Mindset - We confront the toughest challenges head-on and persevere. Sometimes we fail, but we brush ourselves off, adapt, learn, and push forward with resilience.Customer Obsession - We go the extra mile for our workers and businesses. We remain focused on delivering high-quality products and services that solve this massive and overlooked industries’ problemsWhat is light industrial labor?Light industrial flexible staffing is a $50B labor market that encompasses entry-level jobs in warehouses & distribution centers. These workers pack boxes, load trucks, and manage warehouse operations to keep supply chains running at peak efficiency.Job Applicant Privacy NoticeCompensation Range: $200K - $240K

🏢 Summary: Product Manager role focused on building and scaling a two-sided staffing marketplace platform for industrial and logistics operations using AI-driven systems and operational tooling. The position involves owning product strategy, improving marketplace efficiency, collaborating closely with engineering and operations teams, and delivering enterprise-grade workflow solutions in fast-paced startup environments. 🗂️ Requirements: 5-7 years of Product Manager experience, Experience building two-sided marketplace products, Experience with enterprise B2B products, Experience building operational tooling or systems, Strong technical fluency, Ability to work closely with engineering teams, Experience shipping products with measurable business impact, Startup environment experience, Ability to manage complex operational workflows, Experience with supply and demand marketplace dynamics 📃 Skills: AI, Product, Marketplace, B2B, Operations, Analytics, Tooling, Systems, Engineering, Workflows 🏢 Description: About Traba Traba is building the AI operating layer for the light industrial supply chain. The company started in the workforce space to solve contingent labor challenges for manufacturing and logistics customers and has expanded into broader operational workflows. By connecting systems across facilities and activating workers already on the platform, Traba is building applied AI solutions that improve productivity and operational efficiency. The Role The product is the labor itself: the workers matched and deployed into warehouses and manufacturing facilities across the country. Every product decision impacts supply, demand, fulfillment, customer outcomes, and marketplace health. Traba is seeking an entrepreneurial and experienced Product Manager to own and evolve the staffing product at the center of its marketplace. The role involves working across both sides of the marketplace: enterprise customers operating distribution centers and manufacturing facilities, and the workers whose reliability drives customer success. The Product Manager will collaborate with software engineers, product designers, data analysts, operations teams, and field teams to design, build, and deploy practical solutions into industrial facilities. This role reports directly to the VP of Product. What you’ll do - Architect and steward product strategy across staffing and marketplace workflows - Solve marketplace problems by balancing customer needs, operational realities, and business outcomes - Write detailed product requirements and partner closely with engineering teams - Build systems that improve marketplace liquidity, fulfillment, matching quality, and operational efficiency - Use data to uncover patterns and answer marketplace and customer questions - Translate operational complexity into scalable product systems - Scale operations through internal tooling and technical solutions - Launch and iterate products across customers, regions, and operational environments - Visualize and communicate complex systems, workflows, and product strategies - Collaborate across teams and synthesize stakeholder feedback What we’re looking for - Customer-obsessed approach with direct engagement with users on both sides of the marketplace - AI-native operating style with hands-on prototyping and technical collaboration - Deep experience in two-sided marketplaces with supply and demand dynamics - Experience building enterprise B2B products with operational complexity - First-principles thinking and systems-level product judgment - Experience building operational systems and internal tools - Builder mentality with comfort operating in ambiguity and fast-moving environments - Strong collaboration skills across product, engineering, data, operations, sales, and leadership teams What you’ll bring - 5 - 7 years of experience as a Product Manager - Evidence of shipping products that materially improved business outcomes - Strong experience in two-sided marketplaces - Experience building enterprise products with multi-stakeholder customers - Experience building operational tooling or systems - Strong technical fluency and ability to work deeply with engineering teams - Startup experience with strong ownership and execution - Desire to work across a broad range of responsibilities - Strong work ethic and interest in building a category-defining company Benefits - Start-up equity - Competitive salary - 100% paid health, dental, and vision coverage - Dinner provided via Grubhub and stocked kitchen for New York employees - Commuter benefit - Team building events - Gympass benefit - Flexible PTO - Additional benefits including One Medical Membership, HSA via Optum, Talkspace, Health Advocate, and Teladoc Health Salary Range Details The compensation range for this position is between $180,000 and $210,000. The role also includes a competitive equity package. The position is onsite in New York City or San Francisco five days per week, supporting close collaboration and fast-paced teamwork. Equal Opportunity Employer Traba evaluates all applicants without discrimination based on legally protected characteristics and encourages candidates from diverse backgrounds and experiences. Our Values - Dream Big - Olympian’s Work Ethic - Growth Mindset - Customer Obsession