Senior Software Engineer (AI Agents)

🏢 Summary: Senior AI Agent Engineer role focused on building and deploying production-grade AI agents on top of frontier LLMs for supply chain operations. You will design agent harnesses, evaluations, orchestration, and supporting infrastructure, partnering closely with product and customers to take ideas from 0 to scaled deployment. The position combines deep hands-on LLM engineering with distributed systems and customer-embedded product development. 🗂️ Requirements: 5+ years of software engineering experience, 1+ year shipping LLM- or agent-based features to production, Strong proficiency in Python and/or TypeScript/Node.js, Experience designing APIs and distributed systems, Experience with PostgreSQL and data modeling, Hands-on experience with prompt engineering and evaluation frameworks, Experience with agent orchestration patterns and frontier model APIs 📃 Skills: Python, TypeScript, Node.js, LLMs, Prompting, PostgreSQL, APIs, DistributedSystems, Orchestration, Retrieval, MCP, WMS, TMS, ERP 🏢 Description: We are seeking an entrepreneurial Senior AI Agent Engineer to join as a founding member of the Agents team and build the next layer of an agentic platform that synthesizes marketplace data and operates autonomously inside customers' supply chain workflows. You will own the AI agents and the infrastructure they depend on, partnering closely with the CTO, product, and operators to take ideas from 0 to scaled deployments. About the Role You will embed deeply in customers' operations, design and ship production agent harnesses on top of frontier models, and turn field learnings into durable product. You will build the harnesses, evaluations, orchestration, and model strategy that power the broader product. Responsibilities - Embed with customers and operators to understand supply chain workflows and design agents that automate meaningful work. - Build production agent systems on frontier LLMs, including tool use, sub-agents, retrieval, structured outputs, MCP servers, and orchestration. - Own evaluation as a first-class discipline using datasets from real traces, rubrics, graders, experiments, and 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. Qualifications - 5+ years of software engineering experience, with 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 - 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, Gympass, HSA via Optum, Talkspace, HealthAdvocate, Teledoc Health Salary Range The compensation range for this position is $200,000 to $240,000, with potential exceptions based on candidate qualifications.

🏢 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.

🏢 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: 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: 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: 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: 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: 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 full-stack product engineering role focused on applying AI agents and frontier models to automate worker sourcing, vetting, matching, and fulfillment across a large-scale staffing marketplace. You will build and scale core systems including real-time matching, autonomous vetting pipelines, and distributed APIs, partnering closely with the CTO on architecture and roadmap. The role spans frontend, backend, and AI integrations, shipping production-ready automation in a fast-moving environment. 🗂️ Requirements: 5+ years experience in frontend and backend development, Proficiency in TypeScript, Proficiency in React or React Native, Proficiency in Node.js or Python, Strong experience with APIs, Experience with distributed systems, Experience with PostgreSQL, Experience with Kafka or RabbitMQ, Hands-on experience integrating LLMs or AI agents into production products, Proven experience shipping scalable applications in early-stage environments 📃 Skills: TypeScript, React, ReactNative, Node.js, Python, APIs, DistributedSystems, PostgreSQL, Kafka, RabbitMQ, LLMs, AI, Agents 🏢 Description: You'll build Traba's product on top of AI agents—taking frontier models and existing agents and putting them to work across the staffing marketplace to automate the pipeline that sources, vets, matches, and places workers on millions of shifts. This is a product-engineering role focused on applying AI in real product environments, partnering with the CTO on architecture and roadmap, and building the platform 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. You focus on the highest-priority problems, whether AI-driven or not. Voracious learner, comfortable moving between API design, UX, and deployment infrastructure. Proven full-stack builder with 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 and mentor other engineers. Architect and build core systems including 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 experience with APIs, distributed systems, PostgreSQL, and messaging (Kafka or RabbitMQ). Hands-on experience integrating LLMs or agents into real products, including prompting, tool wiring, and evaluations. Track record of shipping scalable products in fast, ambiguous, early-stage environments. 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 Additional benefits: One Medical membership, HSA via Optum, Talkspace, HealthAdvocate, Teledoc Health Equal Opportunity Employer: All applicants are evaluated without discrimination based on legally protected characteristics.

🏢 Summary: Product Engineering role focused on applying AI agents and frontier models across a staffing marketplace to automate sourcing, vetting, matching, and placement workflows. The position involves full-stack development, building scalable distributed systems, and architecting core platform components such as real-time matching and autonomous vetting pipelines. You will partner closely with leadership to deliver end-to-end product features that integrate LLMs into real-world operational systems. 🗂️ Requirements: 5+ years of experience in frontend and backend development, Proficiency in TypeScript, Proficiency in React or React Native, Experience with Node.js or Python, Strong experience building and consuming APIs, Experience with distributed systems, Experience with PostgreSQL, Experience with Kafka or RabbitMQ, Hands-on experience integrating LLMs or AI agents into production products, Proven track record of shipping scalable applications 📃 Skills: TypeScript, React, React Native, Node.js, Python, PostgreSQL, Kafka, RabbitMQ, LLM, APIs, DistributedSystems 🏢 Description: Traba is building an AI operating layer for the industrial supply chain, starting with workforce staffing and expanding into broader operational workflows. The role focuses on applying AI agents and frontier models across the staffing marketplace to automate sourcing, vetting, matching, and placement of workers at scale. Description You will build product features on top of AI agents, taking frontier models and existing agents and putting them to work across the staffing marketplace. This is a product-engineering-first role, requiring you to move across priorities such as automation agents, payments flows, and platform work. You will partner with the CTO on architecture and roadmap while building the platform that powers the company’s operations. Responsibilities - 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 and mentor other engineers - Architect and build core systems including real-time matching, autonomous vetting pipelines, distributed systems, and APIs - Own product surfaces end-to-end in partnership with product and design Requirements - 5+ years of experience across frontend and backend development - Strong experience with TypeScript, React or React Native, and Node.js or Python - Solid understanding of APIs and distributed systems - Experience with PostgreSQL and messaging systems such as Kafka or RabbitMQ - Hands-on experience integrating LLMs or AI agents into production products (prompting, tool wiring, evaluations) - Proven experience shipping scalable products in fast-paced, early-stage environments 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