
We're on a mission to make it easy to build the LLM apps of tomorrow, today. We build products that enable developers to go from an idea to working code in an afternoon and in the hands of users in…

We're on a mission to make it easy to build the LLM apps of tomorrow, today. We build products that enable developers to go from an idea to working code in an afternoon and in the hands of users in…
What they do: Open-source framework and commercial platform for building, observing, evaluating, and deploying AI agents
Founding: Originated as Harrison Chase's open-source project (Oct 2022); company formed with co‑founder Ankush Gola in early 2023
Flagship products: LangChain framework, LangGraph, Deep Agents, LangSmith
Recent funding signal: Raised a growth round (~$100M–$125M) in 2025 valuing the company above $1B
Agent engineering for large language model applications
2023
Technology, Information and Internet
$10M
$25M
Reported valuation around $200M
$100M–$125M
Reported valuation above $1B (~$1.1B–$1.25B)
“Participation from institutional and strategic investors including IVP, Sequoia, Benchmark, ServiceNow Ventures, Workday Ventures, Cisco Investments, Datadog Ventures, Databricks Ventures, and Frontline”
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About Us:
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500 .
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures , we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
About the Role: LangChain is building the infrastructure that powers the next generation of AI applications. Our tools are used by thousands of developers and teams to build, debug, and ship production-grade LLM-powered products.
As our product surface area grows, so does the need for a cohesive, scalable, and high-quality UI foundation . That’s where Design Systems comes in. We’re looking for a Design Systems Engineer to help build, own, and evolve LangChain’s component library —the foundation that our frontend teams rely on to ship fast without sacrificing quality, accessibility, or consistency.
This role sits at the intersection of Design and Engineering . You’ll work closely with designers, product engineers, and platform teams to turn design intent into robust, reusable components and tooling that scale across the product.
You’ll have ownership, influence, and your work will be directly consumed across LangChain’s products.
What You’ll Do:
How to be successful in this role:
Compensation:
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Build and own LangChain’s component library
Design and implement reusable, composable React components that are flexible, accessible, and production-ready
Partner closely with designers to translate design systems, tokens, and interaction patterns into code
Build reliable UI quality systems
Develop design system tooling and improve workflows around theming, tokens, versioning, testing, and component discovery (e.g. Storybook)
Make thoughtful architectural decisions that enable accessibility, performance, consistency, and maintainability across LangChain’s UI stack
Improve UI build and test workflows
Optimize build performance, bundling strategy, and package versioning for the component library
Maintain tooling for testing, dependency management of the UI app