Commercial Contracts Counsel - contractor

🏢 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: 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: 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 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

🏢 Summary: Product-focused engineer role building and applying AI agents across a staffing marketplace to automate worker sourcing, vetting, matching, and fulfillment. You will work across mobile, web, and backend systems, partnering closely with the CTO and design to ship reliable, production-grade automation. This is an early-stage, high-ownership position shaping the core AI-driven product platform. 🗂️ Requirements: 3+ years experience with TypeScript, React or React Native, Node.js, and/or PostgreSQL, Experience integrating LLMs or AI agents into production products, or strong willingness to learn, Ability to build across frontend, backend, and APIs, Experience architecting core systems and scalable applications, Comfort working in early-stage environment with high ambiguity and ownership 📃 Skills: TypeScript, React, ReactNative, Node.js, PostgreSQL, LLMs, AI, APIs, JavaScript, SQL 🏢 Description: Traba is the AI operating layer for the industrial supply chain. We started in workforce—temp staffing, the biggest operational pain point for the manufacturing and logistics customers we serve—and used it to embed ourselves inside their daily operations and create a far better customer experience through technology. Now those same customers are pulling us beyond staffing into the broader operational workflows that run their facilities. That foundation gave us proprietary data from millions of shifts and deep enterprise relationships. By connecting to the systems running across every facility and activating the workers already on our platform to execute against them, we are building applied AI that drives real productivity gains and transforms how the global supply chain operates at scale. We are backed by Founders Fund, Khosla Ventures, and General Catalyst. Description You'll build Traba's product on top of AI agents—taking frontier models and existing agents and putting them to work across our staffing marketplace to automate the pipeline that sources, vets, matches, and places workers on millions of shifts. (Our AI Agents team builds the agent platform; you apply it everywhere it creates leverage.) This is a product-engineering role first, so you'll go where the priorities are: some weeks that's wiring up an agent that automates vetting or matching, others it's a payments flow or UI work. You'll join the founding team, partner with our CTO on the product roadmap, own product decisions, and help build our foundational tech platform. About You: An applier, not a researcher. You take frontier models and existing agents and wire them into real product across the stack—you care about shipping reliable automation, not owning the orchestration internals. And you don't need every task to be an AI task: you take the highest-priority problem, model or not. Voracious learner. You explore new languages and frameworks happily, and can talk product with a designer one minute and infrastructure with a tech lead the next. Strong front-end chops. You have experience with (or a real desire to learn) React Native, and you love building performant apps users enjoy. You Will: - Apply existing agents and frontier models across the stack—worker app, business app, ops platform, marketplace—to automate vetting, matching, and fulfillment. - Write and review high-quality code across our React Native app, React/TypeScript web apps, and Node.js/PostgreSQL APIs. - Architect core systems—from real-time matching to autonomous worker-vetting pipelines powered by ML and agents. - Partner with design to ship polished, intuitive UIs. You Have: - 3+ years with TypeScript, React/React Native, Node.js, and/or PostgreSQL. - Experience integrating LLMs or agents into real product—prompting, tool wiring—or a clear drive to learn. - Comfort in an early-stage team: ambiguity, self-direction, and fast iteration. Benefits: - Start-up equity - Competitive salary - 100% paid health, dental & vision coverage - Dinner provided via DoorDash, free DashPass & stocked kitchen for NY employees - Commuter benefit - Gympass benefit - One Medical membership - HSA via Optum - Talkspace - HealthAdvocate - Teledoc Health Salary Range Details The compensation range for this position is set between $140,000 and $200,000, reflecting market analysis and other relevant considerations. Exceptions may be made for candidates with qualifications that significantly differ from those outlined in the job description. Equal Opportunity Employer We evaluate all applicants without discrimination based on race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other characteristics that are legally protected by local, state, or federal regulations. We encourage applicants from a variety of backgrounds, experiences, and skill sets. Our Values Dream Big - We create and communicate a bold direction that inspires a life-changing vision and focus on long-term value. Olympian’s Work Ethic - We work harder, longer, and smarter, putting everything we have into changing the world. Growth Mindset - We confront tough challenges, adapt, learn, and push forward with resilience. Customer Obsession - We go the extra mile to deliver high-quality products and services that solve critical industry problems.

🏢 Summary: Infrastructure Engineer role focused on building and maintaining cloud infrastructure, CI/CD pipelines, and tooling that power a scalable AI underwriting platform. The position involves improving performance, reliability, security, and cost-efficiency of cloud systems while collaborating with engineering teams to standardize deployments and ensure compliance. This is a hands-on role with high ownership and impact in a growing, cloud-based environment. 🗂️ Requirements: 5+ years of software engineering or DevOps experience, Experience with CI/CD pipelines, Experience with cloud infrastructure and environments, Experience with infrastructure security and performance optimization, Strong system design and debugging skills, Proficiency in Python or other object-oriented language, Experience with serverless technologies, Experience with relational databases, Experience with Infrastructure as Code, Experience with containerization tools 📃 Skills: Python, CI/CD, AWS, Lambda, EC2, PostgreSQL, Terraform, Docker, IaC, Serverless, SQL 🏢 Description: About Kalepa: Commercial insurance is a trillion-dollar industry still run out of Microsoft Outlook. Kalepa is changing that. Kalepa is an AI Underwriting Platform built to deliver Professional-Grade AI in production - helping the world's most important insurers centralize and prioritize submission data, surface critical risk insights, and make faster, more confident decisions. Customers see meaningful improvements to both speed and portfolio quality as soon as they implement Kalepa - so much so that clients call it “truly an underwriter’s dream.” Kalepa's team members bring experience from top technology companies, including Facebook, Google, Amazon, Mastercard, and Uber. Kalepa is backed by leading VCs like IA Ventures and Inspired Capital. Our Values (This is important): Many organizations have a dusty list of corporate values that no one ever follows. Kalepa is not one of those companies. Our values are designed to unlock the potential of our employees. Success at Kalepa is bred from five core principles: Hustle & Grit - We expect everyone at Kalepa to be excellent at what they do and relentless in pursuing their craft. There are no easy days. Kalepa’s exceptional speed and determination are our biggest differentiators: this is how we win. Customer Focus - We will ruthlessly prioritize the work that drives our clients’ growth, profitability, and efficiency. We are not building things just because they seem cool - we are here to solve our customers’ most strategic problems. Meritocracy - Too many exceptional people are stifled by corporate bureaucracies. At Kalepa, those people excel - and we reward tremendous results with rapid promotions and compensation growth. Transparency - We are honest with each other. We don’t believe in back-office politics and keeping employees in the dark. Transparency allows us to instantly cut to the heart of the matter and figure it out together. Experimentation - For many of the problems we face, no company has ever solved them before. We tackle these by quickly testing, measuring, and iterating to determine the path to success. In addition to our NY office, we have remote employees speaking 10+ languages across the globe. But we invest in bringing our people together both for regional meetups and global offsites (2021 - Playa Del Carmen | 2022 - Rome | 2023 - Buenos Aires | 2024 - Lisbon | 2025 - Cartagena). Kalepa’s culture isn’t for everyone, and that’s ok. But for the people who are a fit, they can’t imagine working elsewhere. About the role: Salary range: $85k – $155k USD* We are looking for smart engineers who love to code, seek challenging problems, and appreciate recognition for excellent work. As part of the infrastructure team, you will work on the infrastructure and tooling that power our core platform. You’ll maintain CI/CD pipelines, automate operational workflows, and ensure we stay secure and compliant to the industry standards. Your day-to-day responsibilities will include improving infrastructure performance and reliability, monitoring and optimizing system cost, and collaborating with engineering teams to standardize environments and deployment patterns. You’ll help to maintain observability and incident response processes, and ensure the scalability of our cloud-based systems as we continue to grow. You'll collaborate with a global team of full-stack, data, ML, and DevOps engineers to build scalable backend solutions as we continue to grow. We're a small team where individual contributions have an outsized impact on both our technology and our business. You'll be right at home if you: Have 5+ years of software engineering or dev-ops experience, ideally with time spent working on CI/CD pipelines, security, performance and infrastructure. Embody hustle and grit, you're excellent at your craft and relentless in pursuing it. Take full ownership of your work and drive projects to completion with minimal oversight. Communicate proactively, surfacing blockers, asking the right questions, keeping stakeholders in the loop. Thrive on experimentation: you're comfortable testing ideas, measuring results, and iterating quickly on problems no one has solved before. Have strong fundamentals in system design, debugging, and problem-solving. Know Python (our main stack), though we're open to strong candidates from other OO backgrounds. Have experience with serverless technologies (Lambda, EC2), asynchronous workflows, and cloud environments. Are comfortable with relational databases, ideally PostgreSQL. Know terraform, IaaC best practices, Docker or similar tools. Bonus: experience with LLMs/generative AI, distributed systems What you’ll get: Competitive salary (based on experience level)*. Significant equity options package. Work with an ambitious, smart, global, and fun team to transform a $1T global industry. 20 days of PTO a year. Global team offsites. Gym reimbursement. Phone reimbursement. Student stipend. * The salary range listed is an estimate and will vary based on a variety of factors. Final compensation will be determined during the offer stage based on relevant experience, performance during the interview process, and geographic location, and may therefore differ from the posted range.

🏢 Summary: Engineering role on the New Products team focused on building and experimenting with new AI-driven features, from rapid prototypes to production-ready solutions. The position involves validating ideas, expanding product capabilities, and delivering scalable systems that transform commercial insurance workflows. It offers high ownership and direct impact on both technology and business outcomes. 🗂️ Requirements: 8+ years of software engineering experience, Experience building features from scratch, Strong system design fundamentals, Strong debugging and problem-solving skills, Proficiency in Python or other object-oriented language, Experience with serverless technologies, Experience with asynchronous workflows, Experience with cloud environments, Experience with relational databases (PostgreSQL preferred) 📃 Skills: Python, PostgreSQL, AWS, Lambda, EC2, Serverless, SQL, LLM, GenerativeAI, DistributedSystems 🏢 Description: About Kalepa: Commercial insurance is a trillion-dollar industry still run out of Microsoft Outlook. Kalepa is changing that. Kalepa is an AI Underwriting Platform built to deliver Professional-Grade AI in production - helping the world's most important insurers centralize and prioritize submission data, surface critical risk insights, and make faster, more confident decisions. Customers see meaningful improvements to both speed and portfolio quality as soon as they implement Kalepa - so much so that clients call it “truly an underwriter’s dream.” Kalepa's team members bring experience from top technology companies, including Facebook, Google, Amazon, Mastercard, and Uber. Kalepa is backed by leading VCs like IA Ventures and Inspired Capital. Our Values (This is important): Many organizations have a dusty list of corporate values that no one ever follows. Kalepa is not one of those companies. Our values are designed to unlock the potential of our employees. Success at Kalepa is bred from five core principles: Hustle & Grit - We expect everyone at Kalepa to be excellent at what they do and relentless in pursuing their craft. There are no easy days. Kalepa’s exceptional speed and determination are our biggest differentiators: this is how we win. Customer Focus - We will ruthlessly prioritize the work that drives our clients’ growth, profitability, and efficiency. We are not building things just because they seem cool - we are here to solve our customers’ most strategic problems. Meritocracy - Too many exceptional people are stifled by corporate bureaucracies. At Kalepa, those people excel - and we reward tremendous results with rapid promotions and compensation growth. Transparency - We are honest with each other. We don’t believe in back-office politics and keeping employees in the dark. Transparency allows us to instantly cut to the heart of the matter and figure it out together. Experimentation - For many of the problems we face, no company has ever solved them before. We tackle these by quickly testing, measuring, and iterating to determine the path to success. In addition to our NY office, we have remote employees speaking 10+ languages across the globe. But we invest in bringing our people together both for regional meetups and global offsites (2021 - Playa Del Carmen | 2022 - Rome | 2023 - Buenos Aires | 2024 - Lisbon | 2025 - Cartagena). Kalepa’s culture isn’t for everyone, and that’s ok. But for the people who are a fit, they can’t imagine working elsewhere. About the role: Salary range: $145k – $185k USD* We are looking for smart engineers who love to code, seek challenging problems, and appreciate recognition for excellent work. As part of the New Products team, you will help bring an entirely new suite of capabilities into our product. Your work will range from building quick prototypes to preparing polished feature demos that showcase what’s possible. You’ll iterate rapidly, test ideas early, and embrace a “move fast and break things” mindset to explore new opportunities. This role involves experimenting with features that can expand our total addressable market, validating assumptions, and turning promising concepts into practical, shippable solutions. You'll join a small, high-ownership group with the autonomy to drive innovation and directly influence how AI transforms an entire industry. Your contributions will have an outsized impact on both our technology and our business. You'll be right at home if you: Have 8+ years of software engineering experience, ideally with time spent building features from the ground up. Embody hustle and grit, you're excellent at your craft and relentless in pursuing it. Take full ownership of your work and drive projects to completion with minimal oversight. Communicate proactively, surfacing blockers, asking the right questions, keeping stakeholders in the loop. Thrive on experimentation: you're comfortable testing ideas, measuring results, and iterating quickly on problems no one has solved before. Have strong fundamentals in system design, debugging, and problem-solving. Know Python (our main stack), though we're open to strong candidates from other OO backgrounds. Have experience with serverless technologies (Lambda, EC2), asynchronous workflows, and cloud environments. Are comfortable with relational databases, ideally PostgreSQL. Bonus: experience with LLMs/generative AI, distributed systems. What you’ll get: Competitive salary (based on experience level)*. Significant equity options package. Work with an ambitious, smart, global, and fun team to transform a $1T global industry. 20 days of PTO a year. Global team offsites. Gym reimbursement. Phone reimbursement. Student stipend. * The salary range listed is an estimate and will vary based on a variety of factors. Final compensation will be determined during the offer stage based on relevant experience, performance during the interview process, and geographic location, and may therefore differ from the posted range.