招聘
Compensation
$175,000 - $225,000
Benefits & Perks
•Parental leave
•Team events and activities
•Flexible work arrangements
•Professional development budget
•Generous paid time off and holidays
•Parental Leave
•Flexible Hours
•Learning
Required Skills
TypeScript
JavaScript
React
About Lang Chain:
At Lang Chain, our mission is to make intelligent agents ubiquitous. We help developers build mission-critical AI applications across the entire agent development lifecycle. Our open source frameworks — Lang Chain and Lang Graph — see over 70+ million downloads per month. Developers rely on Lang Chain for composable integrations and Lang Graph for controllable agent orchestration. Our commercial agent platform, consisting of Lang Smith and Lang Graph Platform, enables teams to build, test, run, and manage agents at scale across their organization. Founded in 2023, Lang Chain powers top engineering teams at companies like Replit, Lovable, Clay, Klarna, LinkedIn, and more.
About the role:
Lang Chain 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 infra, product, GTM, and our largest enterprise users to shape the foundation of our enterprise offerings. This role is in-person 5 days/week in New York City, San Francisco, or Boston.
What you will 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 (RBAC/ABAC) models at org 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 scale
- Collaborate with security and compliance teams to support SOC2, GDPR, and other regulatory requirements
- Partner with infra 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
How to be successful in this role:
- 5+ years backend engineering experience with Python or Go (both preferred)
- Deep knowledge of authentication and identity standards (OAuth2, SAML, JWTs, SCIM)
- Experience building and scaling access control systems (RBAC, ABAC, permissions frameworks)
- Experience with billing and usage infrastructure in SaaS environments
- Familiarity with Postgres, Redis, APIs, and modern distributed backend infra
- Comfort navigating enterprise security, compliance, and multi-tenant architectures
- Strong ownership mindset and ability to thrive in fast-paced, unstructured startup environments
- Prior experience building enterprise-grade SaaS or developer platforms
- Bonus: background in security, observability, or developer infrastructure
- Bonus: familiarity with LLMs, GenAI applications, or agentic frameworks
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: $175,000- $225,000
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About LangChain

LangChain
Series BA platform that provides open-source frameworks and tools for engineering and deploying language model agents.
51-200
Employees
San Francisco
Headquarters
$200M
Valuation
Reviews
3.4
3 reviews
Work Life Balance
2.5
Compensation
3.0
Culture
2.8
Career
3.2
Management
2.3
35%
Recommend to a Friend
Pros
Working with cutting-edge AI technologies like LangChain and RAG
Hands-on experience building end-to-end AI projects
Exposure to modern applied AI development
Cons
Uncertainty about long-term career prospects and employability
Projects rarely make it to production use
Lack of senior developer mentorship and guidance
Salary Ranges
9 data points
Mid/L4
Mid/L4 · Product Designer
1 reports
$178,619
total / year
Base
$155,147
Stock
-
Bonus
-
$178,619
$178,619
Interview Experience
10 interviews
Difficulty
2.7
/ 5
Duration
14-28 weeks
Offer Rate
60%
Experience
Positive 50%
Neutral 40%
Negative 10%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Assessment/Take-home
4
Technical Interview
5
Virtual Onsite/Final Round
6
Offer
Common Questions
System Design
Machine Learning/AI Knowledge
Coding/Algorithm
Technical Architecture
Behavioral/STAR
News & Buzz
LangChain: $125 Million Raised To Advance Agent Engineering Platform - Pulse 2.0
Source: Pulse 2.0
News
·
19w ago
LangChain Raises $125M in Series B, Hits $1.25B Unicorn Valuation - WebProNews
Source: WebProNews
News
·
19w ago
Sequoia backs AI agent tools LangChain at $1.3b valuation - Tech in Asia
Source: Tech in Asia
News
·
19w ago
LangChain becomes unicorn with $1.25B valuation in Series B - The Tech Buzz
Source: The Tech Buzz
News
·
19w ago