About the role
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.
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.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the Team
The Enterprise Readiness team builds the systems that allow large organizations to securely adopt and scale LangChain in production. The team focuses on identity, authentication, authorization, billing, compliance, and tenant management to ensure our platform meets the security and operational requirements of enterprise customers.
About the Role
LangChain is hiring a Senior Backend Engineer focused on Enterprise Readiness & Identity to build the features that make our platform secure, compliant, and scalable for enterprise customers.
This is a high-impact role on a newly formed team working at the intersection of authentication, authorization, billing, security, compliance, and tenant management. You’ll collaborate closely with infrastructure, product, GTM teams, and our largest enterprise users to shape the foundation of our enterprise offerings.
Location: In-person 5 days/week in New York City, San Francisco, or Boston.
What You'll Do
Design and implement backend services (Python/Go) powering enterprise authentication, authorization, billing, and tenant provisioning
Build and evolve systems for SAML, SCIM, OAuth2, and single sign-on (SSO) integrations
Develop robust role-based and attribute-based access control systems (RBAC/ABAC) at organizational scale
Build and scale billing infrastructure including invoicing, usage-based charging, and flexible pricing model support
Implement audit logging, usage tracking, and metering pipelines to support compliance and billing accuracy
Optimize enterprise onboarding and tenant lifecycle management for reliability and scalability
Collaborate with security and compliance teams to support SOC2, GDPR, and other regulatory requirements
Partner with infrastructure engineers to ensure identity and enterprise features are performant, reliable, and observable
Engage directly with enterprise customers to translate requirements into secure, scalable platform capabilities
Write clean, maintainable, and well-documented backend code
What You'll Bring
Technical experience
5+ years of backend engineering experience with Python or Go (both preferred)
Deep knowledge of authentication and identity standards including OAuth2, SAML, JWTs, and SCIM
Experience building and scaling access control systems such as RBAC or ABAC frameworks
Experience building billing or usage infrastructure in SaaS environments
Familiarity with Postgres, Redis, APIs, and modern distributed backend infrastructure
Enterprise systems experience
Comfort navigating enterprise security, compliance, and multi-tenant architectures
Prior experience building enterprise-grade SaaS platforms or developer platforms
Working style
Strong ownership mindset and ability to thrive in fast-paced, unstructured startup environments
Nice to Have
Background in security, observability, or developer infrastructure
Familiarity with LLMs, GenAI applications, or agentic frameworks
Compensation
Annual salary range: $175,000- $240,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
Benefits
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Aplyr's read
LangChain empowers developers to harness language models for intelligent applications, attracting tech-savvy professionals eager to innovate in AI-driven software development.
What's promising
- •LangChain's focus on language models positions it at the forefront of AI-driven software innovation.
- •The company offers diverse roles, indicating growth and a wide range of opportunities.
- •LangChain's tools enable developers to create sophisticated, interactive applications.
What to watch
- •Limited public information about LangChain's long-term financial stability.
- •The niche focus on language models may limit broader market appeal.
- •High competition in AI software development could challenge LangChain's market position.
Why LangChain
- •LangChain specializes in frameworks for language model applications, a distinct niche in AI.
- •The company provides tools specifically for enhancing application interactivity and intelligence.
- •LangChain's roles span globally, reflecting a commitment to international expansion.
Aplyr’s read is generated by AI from public sources. Was it useful?
About LangChain
LangChain is a framework designed for developing applications powered by language models. It provides tools for building applications that can understand and generate human-like text, enabling developers to create more interactive and intelligent applications.
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