
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…
Core offering: Open-source LLM agent framework plus commercial platform for agent orchestration, observability, evaluation, and deployment
Founders / leadership: Co-founded by Harrison Chase (CEO) and Ankush Gola
Adoption metrics (site-stated): Claims: 90M monthly downloads, 100k+ GitHub stars, 1,000+ integrations; used by 100k+ companies
Recent funding: $125M Series B (2025) led by IVP; prior seed and Series A led by Benchmark and Sequoia
Employees (approx.): ~215
Agent engineering and productionization of LLM-powered applications
2022
Technology, Information and Internet
$10M
$25M
$125M
Reported valuation around $1.25B
“Participation from top-tier VCs (Benchmark, Sequoia, IVP) and corporate investors in later round (e.g., CapitalG, Sapphire Ventures, Workday Ventures, ServiceNow Ventures, Datadog, Databricks Ventures, Cisco Investments)”
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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 Team The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market , shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
About The Role The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production . The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
Location(s)
What You’ll Do
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Nice to Have’s:
Compensation & Benefits We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Annual OTE range: $150,000–$250,000 USD
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