Staff Software Engineer (AI Agents)

🏢 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: 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 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: Senior platform engineering role focused on building and scaling AI-powered systems for staffing and supply chain operations. The position involves integrating AI agents and LLMs into production workflows, leading backend architecture, and developing scalable infrastructure for matching, vetting, and automation pipelines. 🗂️ Requirements: 7+ years of experience with TypeScript, 7+ years of experience with Node.js or Python, Experience with PostgreSQL, Experience with Kafka or RabbitMQ, Experience designing scalable distributed systems, Strong API design skills, Experience with data modeling and query optimization, Track record of leading and shipping projects at scale, Ability to work in an early-stage environment, Experience building or integrating AI/LLM systems in production 📃 Skills: TypeScript, Node.js, Python, PostgreSQL, Kafka, RabbitMQ, APIs, LLMs, AI, ML, DistributedSystems, DataModeling, QueryOptimization 🏢 Description: Traba is building AI-powered systems to automate staffing and operational workflows across the industrial supply chain. You'll build the product on top of AI agents and apply frontier models across the staffing marketplace to automate sourcing, vetting, matching, and placement workflows at scale. The role focuses heavily on platform engineering, backend services, infrastructure, and scalable distributed systems. You will: - Set the standard for applying agents across the stack to automate the staffing pipeline and improve AI-assisted tooling. - Architect and lead core systems, including real-time matching and autonomous vetting pipelines powered by ML and agents. - Own platform architecture and plan for long-term scalability. - Drive backend performance, reliability, and scale. About You: - Strong experience applying frontier models and agents in production systems. - Ability to move across API design, infrastructure, and deployment. - Deep full-stack engineering experience with scalable applications, APIs, data modeling, query optimization, and distributed systems. You Have: - 7+ years with TypeScript/Node.js or Python. - Experience with PostgreSQL. - Experience with messaging systems such as Kafka or RabbitMQ. - Proven record of shipping and leading projects at scale. - Experience building or integrating AI/LLM systems in production preferred. - Ability to operate effectively in ambiguous, early-stage environments. Benefits: - Start-up equity - Competitive salary - 100% paid health, dental, and vision coverage - Dinner provided via DoorDash and free DashPass for NY employees - Stocked kitchen for NY employees - Commuter benefit - Gympass benefit - One Medical membership - HSA via Optum - Talkspace - HealthAdvocate - Teladoc Health Salary Range: $240,000 - $300,000 Equal Opportunity Employer: All applicants are evaluated without discrimination based on legally protected characteristics.

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

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

🏢 Summary: Senior platform engineer role focused on building and scaling AI-agent powered backend systems that automate a staffing marketplace. You will architect and own core infrastructure, real-time matching, and ML-driven vetting pipelines while integrating frontier models into production. The role emphasizes distributed systems, performance, and long-term platform scalability in an early-stage environment. 🗂️ Requirements: 7+ years experience with TypeScript/Node.js or Python, Strong experience with PostgreSQL, Experience with messaging systems such as Kafka or RabbitMQ, Proven experience shipping and leading projects at scale, Deep expertise in APIs, data modeling, query optimization, distributed systems, Ability to architect scalable backend systems, Experience integrating AI/LLM systems in production (preferred), Ability to operate in early-stage, ambiguous environments 📃 Skills: TypeScript, Node.js, Python, PostgreSQL, Kafka, RabbitMQ, APIs, DistributedSystems, LLM, MachineLearning 🏢 Description: You will build Traba's product on top of AI agents and set the standard for how they are applied across the stack. You will put frontier models and existing agents to work across the staffing marketplace to automate the pipeline that sources, vets, matches, and places workers on millions of shifts, while owning the core backend services and platform it runs on. This is a platform-engineering role focused on infrastructure, matching systems, data challenges, and scaling distributed systems. You will: - Set the standard for applying agents across the stack to automate the staffing pipeline and build with AI-assisted tooling. - Architect and lead core systems, from real-time matching to autonomous vetting pipelines powered by ML and agents. - Own platform architecture with long-term scalability in mind. - Drive backend performance, reliability, and scale. You have: - 7+ years with TypeScript/Node.js or Python. - Strong experience with PostgreSQL. - Experience with messaging systems such as Kafka or RabbitMQ. - Proven track record of shipping and leading projects at scale. - Deep experience designing scalable applications, APIs, data modeling, query optimization, and distributed systems. - Experience building or integrating AI/LLM systems in production is a plus. - Comfort operating in an early-stage, ambiguous environment. Benefits: - Start-up equity. - Competitive salary ($240,000–$300,000). - 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 including One Medical membership, HSA via Optum, Talkspace, HealthAdvocate, and Teladoc Health. Equal Opportunity Employer: Traba evaluates all applicants without discrimination based on legally protected characteristics and encourages candidates from diverse backgrounds to apply.

🏢 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

🏢 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