About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast.
Our open source frameworks, LangChain and LangGraph, see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences.
LangChain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and more.
About the role
Our talent team is growing and we are looking for an experienced full life cycle Technical Recruiter to support LangChain through its next phase of hyper growth. In this role, you will immediately dive into recruiting high priority technical roles including applied AI, product backend and infrastructure engineering etc.
You will be a key partner to engineering leadership and founders, owning searches end to end while helping define and scale our technical hiring approach. Strong emphasis on sourcing closing top tier technical talent in a highly competitive market.
Own and drive the full cycle recruiting process for technical roles, from strategic sourcing through offer negotiation and closing.
Partner closely and effectively with hiring managers, engineering leaders, and founders to deeply understand role requirements and maintain strong alignment throughout the hiring process.
Develop and execute thoughtful sourcing strategies to attract senior level and highly specialized technical talent, leveraging outbound sourcing, talent mapping, referrals, and warm networks.
Effectively engage, screen, and close top tier technical candidates, while maintaining a high bar and an outstanding candidate experience.
Provide high touch candidate experience and relationship management, particularly with senior and passive technical candidates
How to be successful in this role
5+ years of full cycle recruiting experience, with a strong focus on technical roles such as software engineering, applied AI, infrastructure, or related disciplines, ideally in high growth or mid stage startup environments.
Strong technical curiosity and the ability to understand and speak credibly about complex technical roles, teams, and problem spaces.
Ability to craft compelling value propositions for technical candidates, including those evaluating multiple competitive opportunities.
A collaborative and effective communicator who builds trust with hiring managers, candidates, and cross functional partners.
Proven track record of high velocity recruiting for hard to fill technical roles in fast paced environments.
Highly execution oriented, with excellent organization, prioritization, and closing skills.
Compensation & Benefits
We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations.
Annual salary range: $140,000 - $175,000
What We Do
LangChain is the platform for building reliable agents. Our products power top engineering teams — from fast-growing startups like Lovable, Mercor, and Clay to global brands including AT&T, Home Depot, and Klarna.
LangGraph is a low-level orchestration framework for building controllable agents and long-running workflows. It’s used in production by teams at Replit, Uber, LinkedIn, GitLab, and more.
LangSmith offers unified evaluation and monitoring to help developers debug, evaluate, and improve their agents at scale.
LangChain provides hundreds of integrations and composable components, making it easy to connect with the latest models, tools, and databases — with minimal engineering overhead.
Together, these tools help teams build, deploy, and manage enterprise-grade agents, faster.
