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: Staff Agent Engineer role focused on building and leading the company’s AI agent platform for industrial supply chain operations. The position involves architecting production-grade agent systems, orchestration, evaluation infrastructure, integrations with operational systems, and model strategy while partnering closely with leadership and customers. The role offers competitive compensation, equity, comprehensive health benefits, and ownership of foundational AI platform decisions. 🗂️ Requirements: 7+ years of software engineering experience, 2+ years of production experience with LLM or agent-based systems, Strong proficiency in Python, Strong proficiency in TypeScript, Experience with Node.js, Experience designing distributed systems, Experience building APIs, Experience with PostgreSQL, Experience with Kafka or RabbitMQ, Production experience with orchestration, retrieval, evals, observability, and agent tooling, Experience leading 0-to-1 product or platform builds, Strong written and verbal communication skills 📃 Skills: Python, TypeScript, Node.js, PostgreSQL, Kafka, RabbitMQ, LLM, AI, 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. 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 the AI agents themselves—the harnesses, evals, orchestration, and model strategy the rest of Traba's 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 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. 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 lived with the on-call—and you have strong opinions on where to draw the line between prompting, fine-tuning, retrieval, and code. Domain depth meets technical breadth. You're as comfortable in a warehouse on a customer site as in a design doc—you learn an industry's actual operations (WMS quirks, shift cadence, exception handling) and let that shape architecture. Set direction by shipping. You raise the bar by writing the canonical example, not just the doc—picking the foundational tools, integrating the right model providers, designing the eval infrastructure, and bringing others along. Sweat the small stuff at staff scale. You have strong opinions on eval datasets, prompt versioning, observability for agents, and the line between a clean abstraction and an over-engineered one. You Will - Architect Traba's agent platform end-to-end—orchestration runtime, eval and observability stack, the integration layer to internal and customer systems (WMS/TMS/ERP), and the patterns every agent is built on. - Own the foundational technical decisions: model strategy, harness design, retrieval and memory architecture, tool/MCP surface, and how we measure quality. - Spend real time in the field with customers and operators—translating what you see into durable product and repeatable deployment patterns. - Build evaluation as a real engineering discipline—datasets, graders, regression suites, and experimentation tooling. - Hire and mentor the engineers who build alongside you, and set the standard for what “good” looks like. - Partner with the CTO, product, and ops leadership on the multi-year platform roadmap. You Have - 7+ years of software engineering, with 2+ years of hands-on production work on LLM- or agent-based systems. - Deep experience in Python and/or TypeScript/Node.js. - Track record designing distributed systems, APIs, and data models on PostgreSQL and modern messaging systems such as Kafka or RabbitMQ. - Demonstrated ownership of a non-trivial production agent system: orchestration, tool use, retrieval, evals, observability, and cost/latency tuning. - Background in vertical AI, AI-agent companies, forward-deployed engineering, or AI-native data companies. - 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 - One Medical membership - HSA via Optum - Talkspace - HealthAdvocate - Teledoc Health Salary Range Details The compensation range for this position is set between $240,000 and $300,000, 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: 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 Staff Agent Engineer role focused on architecting and leading the development of an end-to-end AI agent platform for industrial operations, including orchestration, evaluation, model strategy, and system integrations. The position involves building production-grade LLM-based agents, defining foundational technical decisions, and partnering closely with leadership and customers to deploy scalable, reliable agent systems. This is a 0-to-1, high-impact role with ownership over agent infrastructure, quality standards, and technical direction. 🗂️ 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 (Kafka, RabbitMQ, or equivalent), Proven ownership of a production-grade agent system (orchestration, tool use, retrieval, evals, observability), Experience with model strategy, fine-tuning, prompting, and retrieval architectures, Ability to design evaluation datasets, regression suites, and experimentation tooling, Experience leading 0-to-1 builds in early-stage environments, Strong written and verbal communication skills 📃 Skills: Python, TypeScript, Node.js, LLM, Agents, PostgreSQL, Kafka, RabbitMQ, APIs, DistributedSystems, Retrieval, FineTuning, Prompting, Observability, Orchestration 🏢 Description: Description Traba is building the AI operating layer for the industrial supply chain, expanding from workforce management into broader operational workflows across manufacturing and logistics facilities. As a Staff Agent Engineer and founding member of the Agents team, you will lead the development of the agentic platform that synthesizes marketplace data, integrates with customer operational systems, and acts autonomously within facility workflows. You will partner closely with the CTO to define core architectural decisions around how agents are built, evaluated, and deployed, setting the standard for quality, reliability, and scalability. About You You've built agent systems that have been deployed into production at scale, including designing orchestration patterns, evaluation frameworks, and model strategies. You are comfortable working across prompting, fine-tuning, retrieval, and code, and have strong opinions on how to balance them. You combine domain depth with technical breadth, learning real-world operational environments and translating them into robust architecture. You lead by example, writing foundational implementations, selecting core tools and model providers, and building evaluation and observability infrastructure. Responsibilities - Architect the end-to-end agent platform, including orchestration runtime, evaluation and observability stack, and integration layer with internal and customer systems (WMS/TMS/ERP) - Own foundational technical decisions such as model strategy, harness design, retrieval and memory architecture, tool surface, and quality measurement - Spend time on-site with customers and operators to translate operational realities into durable product patterns - Build evaluation as an engineering discipline, including datasets, graders, regression suites, and experimentation tooling - Hire and mentor engineers and define high standards for technical quality - Partner with CTO, product, and operations leadership on the long-term platform roadmap Qualifications - 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 on PostgreSQL and modern messaging systems (Kafka, RabbitMQ, or equivalent) - Demonstrated ownership of a production-grade agent system 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; supply chain or logistics exposure is a plus - 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: One Medical membership, HSA via Optum, Talkspace, HealthAdvocate, Teladoc Health Salary Range The compensation range for this position is $240,000 - $300,000.

🏢 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: 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: 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: Staff Agent Engineer role focused on building and scaling an AI agent platform for industrial supply chain operations. The position involves designing orchestration, evaluation, observability, retrieval, and integration systems for production-grade LLM agents while partnering closely with leadership and customers. The role also includes mentoring engineers, defining model strategy, and driving 0-to-1 platform development in a high-growth environment. 🗂️ Requirements: 7+ years of software engineering experience, 2+ years of production experience with LLM or agent-based systems, Strong Python or TypeScript/Node.js expertise, Experience designing distributed systems and APIs, Experience with PostgreSQL and messaging systems, Ownership of production agent systems including orchestration, retrieval, evals, and observability, Experience with model strategy, prompting, fine-tuning, and retrieval systems, Ability to build evaluation datasets and regression tooling, Experience in early-stage or 0-to-1 product environments, Strong written and verbal communication skills 📃 Skills: Python, TypeScript, Node.js, PostgreSQL, Kafka, RabbitMQ, LLM, AI, APIs, MCP 🏢 Description: Traba is building an AI-driven operational platform for the industrial supply chain, expanding from workforce staffing into broader workflow automation across manufacturing and logistics facilities. We are seeking a Staff Agent Engineer to join as a founding member of the Agents team and lead development of the company’s agentic platform. The role focuses on building the AI agents, orchestration runtime, evaluation systems, observability stack, and integrations that power operational workflows at scale. You’ll partner closely with the CTO to define the architecture, model strategy, deployment patterns, and reliability standards for production AI agents. The position requires deep technical expertise combined with customer-facing operational understanding. About You - Built and deployed production-scale agent systems - Experience with orchestration, evals, retrieval, observability, and on-call ownership - Strong understanding of prompting, fine-tuning, retrieval, and code tradeoffs - Comfortable learning operational workflows directly from customer environments - Able to lead by example through hands-on technical execution - Strong focus on prompt versioning, evaluation datasets, and observability You Will - Architect the agent platform end-to-end including orchestration runtime, evaluation systems, observability, and integrations with internal and customer systems - Own foundational decisions around model strategy, retrieval, memory architecture, and tooling - Work directly with customers and operators to inform product and deployment decisions - Build datasets, graders, regression suites, and experimentation tooling for evaluation workflows - Hire and mentor engineers while defining engineering quality standards - Partner with leadership on long-term platform roadmap and execution You Have - 7+ years of software engineering experience - 2+ years of hands-on production experience with LLM or agent-based systems - Strong expertise in Python and/or TypeScript/Node.js - Experience designing distributed systems, APIs, and PostgreSQL data models - Experience with messaging systems such as Kafka or RabbitMQ - Ownership of production agent systems including orchestration, retrieval, evals, observability, and latency/cost optimization - Background in vertical AI, AI-agent platforms, forward-deployed engineering, or AI-native data companies - Experience building 0-to-1 products in early-stage environments - Strong communication and collaboration skills Benefits - Start-up equity - Competitive salary - 100% paid health, dental, and 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 $240,000 - $300,000 Equal Opportunity Employer Traba evaluates applicants without discrimination based on legally protected characteristics and encourages candidates from diverse backgrounds and experiences to apply.

🏢 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: Senior AI Agent Engineer role focused on building and deploying production-grade AI agents on frontier LLMs to power autonomous supply chain workflows. The position involves designing agent harnesses, orchestration, evaluation frameworks, and integrations with enterprise systems, working closely with customers and internal teams to take ideas from 0-to-1 through scaled deployment. This is a founding-level opportunity to own the agent layer and infrastructure behind an applied AI platform. 🗂️ Requirements: 5+ years of software engineering experience, 1+ year shipping LLM- or agent-based features into production, Strong proficiency in Python and/or TypeScript/Node.js, Experience designing APIs, distributed systems, and PostgreSQL data models, Hands-on experience with prompt engineering, evaluation frameworks, and agent orchestration in production, Experience integrating with enterprise systems such as WMS, TMS, or ERP, Ability to build and deploy production-grade agent systems on frontier LLMs, Experience working in fast-paced, ambiguous environments 📃 Skills: Python, TypeScript, Node.js, PostgreSQL, LLMs, APIs, DistributedSystems, PromptEngineering, EvaluationFrameworks, Orchestration, MCP, WMS, TMS, ERP 🏢 Description: Description Traba is building an agentic AI platform that operates autonomously inside customers' supply chain workflows. As a Senior AI Agent Engineer and founding member of the Agents team, you will design and ship production agent harnesses on top of frontier models, embedding deeply in customer operations and turning field insights into durable product. You will partner closely with the CTO, product, and operators to take ideas from 0-to-1 through scaled deployments. Responsibilities - Embed with customers and operators to understand supply chain operations and design agents that remove meaningful work from their workflows. - Build production agent systems on frontier LLMs, including tool use, sub-agents, retrieval, structured outputs, MCP servers, and orchestration. - Own evaluation as a core discipline by creating datasets from real traces, defining rubrics and graders, running experiments, and driving measurable improvements. - Architect the data, services, and APIs the agent layer depends on, integrating internal systems with customers' WMS, TMS, and ERP environments. - Codify repeatable deployment patterns to accelerate new customer rollouts. Requirements - 5+ years of software engineering experience, including 1+ year shipping LLM- or agent-based features into production. - Strong proficiency in Python and/or TypeScript/Node.js. - Experience designing APIs, distributed systems, and data models in PostgreSQL. - Hands-on experience with production-scale prompt engineering, evaluation frameworks, orchestration patterns, and frontier model APIs. - Track record of building in fast, ambiguous environments. - Excellent written and verbal communication skills. Benefits - Start-up equity. - Competitive salary ($200,000–$240,000). - 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. Equal Opportunity Employer We evaluate all applicants without discrimination based on legally protected characteristics and encourage applicants from diverse backgrounds, experiences, and skill sets.