langchain.com
15 open TypeScript positions
Open Positions
Customer Engineer
This role seeks a Customer Engineer to act as a trusted technical advisor for new enterprise customers adopting the LangChain ecosystem, focusing on the LangSmith platform. Key responsibilities include leading onboarding engagements, creating technical training workshops, and developing scalable enablement frameworks. The engineer will also synthesize user feedback to influence the product roadmap alongside Engineering and Product teams.
Gtm Engineer
This GTM Engineer role focuses on building AI-native systems to power technical support, onboarding, and customer success engines using frameworks like LangChain and LangGraph. Key responsibilities include architecting and deploying production-grade agents to drive case deflection and own the technical roadmap for user-facing tools. The ideal candidate possesses strong software engineering skills, especially with Python/TypeScript, and has shipped LLM systems in production, adopting a self-directed 'founder' mentality.
Customer Engineer
The Customer Engineer will act as a trusted technical advisor for new enterprise customers adopting the LangChain ecosystem, focusing on onboarding and enablement. Key responsibilities include leading setup engagements, delivering technical training workshops, and creating scalable enablement frameworks like tutorials and guides. This role requires proven software engineering experience with a focus on AI/ML applications and serving as the voice of the user to inform the product roadmap.
Frontend Platform Engineer, Design Systems
LangChain is seeking a Design Systems Engineer to build, own, and evolve the company's component library, which serves as the UI foundation for all product teams. This role involves closely collaborating with designers to translate design intent into robust, accessible, and reusable React components. Key responsibilities include developing design system tooling, optimizing build workflows, and ensuring consistency, performance, and accessibility across the entire UI stack.
Customer Engineer
The Customer Engineer role involves serving as a trusted technical advisor, focusing on onboarding new enterprise customers and accelerating their success with the LangChain ecosystem. Key responsibilities include leading onboarding engagements, developing scalable enablement frameworks like tutorials and guides, and gathering user feedback to influence the product roadmap. This position requires strong Python expertise in AI/ML applications and excellent communication skills to deliver technical training to diverse enterprise audiences.
Solutions Architect
The Solutions Architect will join the Professional Services team to design, deploy, and optimize production-grade AI infrastructure and multi-agent systems for enterprise customers. Key responsibilities involve leading infrastructure and platform engineering, including Kubernetes design and IaC using Terraform, alongside building reliable agent applications using frameworks like LangChain. This role requires deep technical expertise, strong customer-facing skills, and the ability to present technical recommendations based on maturity assessments.
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Senior Technical Support Engineer
LangChain is seeking a Senior Technical Support Engineer to manage customer support for technical users, including AI engineers and infrastructure architects, focusing on debugging production LLM applications and agents. Responsibilities include acting as the escalation point, working cross-functionally with engineering to resolve bugs, and improving support processes by refining KPIs and enhancing documentation. Success in this role requires over four years of experience in deeply technical B2B support roles, coupled with expert troubleshooting skills across distributed systems and familiarity with core AI/DevOps tooling.
AI Engineer
The AI Engineer will join the Professional Services team to design, build, and optimize production-grade AI agent systems for enterprise customers. Key responsibilities include designing multi-agent systems, implementing agent logic using frameworks like langchain/langgraph, and guiding customers on deployment and configuration management. This role requires deep technical expertise in agent engineering combined with customer-facing skills to lead maturity assessments and provide recommendations.
Software Engineering Manager, Observability & Evals Platform
The role involves leading the engineering team responsible for building LangSmith, LangChain's observability and evaluation platform for LLM applications. Responsibilities include defining technical direction, mentoring engineers, partnering with product/design, and ensuring platform scalability and reliability. Success requires experience managing complex full-stack teams and a strong technical background in relevant languages and databases.
Senior Technical Support Engineer
LangChain is seeking a Senior Technical Support Engineer to manage customer support for highly technical users, focusing on debugging production LLM applications, improving AI observability, and resolving critical issues. Key responsibilities include acting as the primary escalation point, collaborating cross-functionally to resolve bugs, and mentoring other support engineers.
SDK Engineer, Platform
The SDK Engineer will join the platform team to focus on developing and maintaining LangSmith's SDKs, primarily in TypeScript and Python, with future expansion to Java and Go. Key responsibilities include designing developer-friendly interfaces for logging traces and running evaluations, and building robust testing frameworks. This role requires deep programming expertise in Python/TypeScript and a strong understanding of API design to ensure seamless programmatic interaction with LangSmith.
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Senior Full-Stack Engineer, Growth & Monetization
LangChain is seeking a Senior Fullstack Engineer to join a new team focused on building foundational product features for user acquisition, experimentation, and expansion. Responsibilities include working across the stack (React, TypeScript, Python, Go) to deliver growth features, build flexible experimentation systems, and collaborate with product and analytics teams. This is a high-impact 0->1 role requiring presence in the office five days a week in NYC, San Francisco, or Boston.
Full-Stack Software Engineer, Applied AI
LangChain is hiring Applied AI Engineers to build production-grade AI agents that automate functions across the company, including Marketing, GTM, and Recruiting. Responsibilities include designing, implementing, and deploying end-to-end AI workflows and contributing to the open source LangChain/LangGraph ecosystem. Successful candidates must have strong software engineering skills and at least 3 years of shipping AI/ML applications, including 1 year building LLM systems in production.
Full-Stack Engineer, Observability & Evals Platform (langsmith)
The role is for a Fullstack Engineer focusing on LangSmith, the commercial AI observability and evaluation platform. Responsibilities include developing key product features across the Go, Python, and Typescript stack, collaborating closely with product/design teams, and maintaining high engineering standards by writing clean, tested code.
Senior Full-Stack Engineer, Observability & Evals Platform (langsmith)
LangChain is seeking a Senior Full Stack Engineer to shape the technical direction of its commercial product, LangSmith, an observability and evals platform. Key responsibilities include leading technical architecture and implementation across the Go, Python, and Typescript stack, collaborating with product/design teams, and mentoring junior members. Success requires 7+ years of experience in complex platform products, including fullstack experience with Go/Python and React/Typescript.