Senior Backend Engineer, Enterprise Readiness & Identity

About the role

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. 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. 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.

Responsibilities

• 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

Requirements

• 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
• Background in security, observability, or developer infrastructure
• Familiarity with LLMs, GenAI applications, or agentic frameworks

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