Jobs at LangChain

Develop and enhance LangSmith frontend features using React and TypeScript. Build reusable components, translate designs into high-quality interfaces, optimize performance across browsers and devices, and collaborate with backend, full-stack, and UX/UI teams to improve usability and product quality.

Build and maintain backend services and APIs powering LangSmith’s AI observability, tracing, monitoring, and evaluation workflows. Responsibilities include architectural design, high-volume data storage and query optimization, reliability engineering, testing, monitoring, alerting, production troubleshooting, root-cause analysis, documentation, and cross-functional feature delivery.

Lead architecture and implementation of LangSmith platform features across Go, Python, and TypeScript. Collaborate with product, design, customers, and internal stakeholders to deliver scalable observability and evaluation capabilities. Write clean, tested code, design high-performance APIs, work with Postgres and Redis, and drive rapid project execution. The role requires strong fullstack engineering, communication, ownership, and customer engagement skills.

Lead the engineering team building LangSmith, an AI observability and evaluation platform for LLM applications. Responsibilities include hiring and mentoring engineers, setting technical direction, ensuring scalability and reliability, partnering with product and design, writing high-quality Go, Python, and TypeScript code, and engaging customers to guide product improvements.

Build and own LangChain’s React component library and design system. Develop accessible, reusable UI components; translate design tokens and interaction patterns into code; create tooling for theming, versioning, testing, visual regression, and component discovery; and optimize build performance, bundling, dependency management, and package versioning. Collaborate closely with designers, product engineers, and platform teams to maintain a consistent, high-quality frontend foundation.

As a Backend Engineer, you will design and build backend systems and APIs for LangChain's observability and evals platform, optimizing performance and reliability while collaborating with cross-functional teams.

Own the full enterprise software sales cycle from lead generation through close. Build trusted relationships with technical decision-makers, lead proof-of-concept efforts, communicate product value, negotiate pricing and contracts, and support post-sale success. Collaborate with engineering, product, customer success, deployment, and legal teams while contributing customer insights and helping develop LangChain’s sales playbook and go-to-market strategy.

Build and enhance LangSmith frontend features: implement user-facing UI with React and TypeScript, create reusable components, translate designs into high-quality code, optimize performance, and collaborate with backend engineers and designers to improve observability and evaluation workflows for LLM applications.

The Deployed Engineer will co-architect and build production AI agents, manage technical evaluations, and support customers with deployments and best practices.

The Renewals Account Manager will oversee customer renewals and expansions, ensuring satisfaction and retention through relationship-building and managing renewal processes.

Lead technical support for customers, diagnose issues in LLM applications, work with engineering to resolve bugs, and mentor support engineers.

Maintain and improve the LangChain Python package, enhance documentation, assist users, and build example applications.

The Full Stack Engineer will develop and implement features for the LangSmith platform, collaborate with teams, ensure high coding standards, and engage with enterprise customers.

Build and expand the company’s analytics data stack using Looker, LookML, dbt, BigQuery, and Airbyte. Develop data models, integrate multiple business systems, create KPI dashboards, and analyze product usage, customer health, adoption, and revenue data. The role empowers business teams with self-service analytics, actionable insights, and data-informed decision-making while developing a strong understanding of business metrics.

Develop and enhance user-facing features for an LLM observability platform using React and TypeScript. Build reusable components and front-end libraries, translate designs into performant UI code, optimize cross-device/browser performance, and collaborate with backend engineers and designers to improve usability.

Own and govern the end-to-end marketing tech stack and campaign operations: roadmap, integrations, tracking, tag management, data flows, and reporting. Build AI-powered automations and operational tooling, ensure data hygiene, and support ABM and PLG initiatives through signal and workflow design.