채용
보상
$175,000 - $225,000
복지 및 혜택
•Parental Leave
•Flexible Hours
•Learning
필수 스킬
TypeScript
JavaScript
React
About Us:
At Lang Chain, 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, Lang Chain, Lang Graph, Lang Smith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust Lang Chain 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. Lang Chain is a place where your contributions can shape how this technology shows up in the real world.
About the Team:
The Enterprise Readiness team builds the systems that allow large organizations to securely adopt and scale Lang Chain 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:
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 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:
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Design and implement backend services (Python/Go) powering enterprise authentication, authorization, billing, and tenant provisioning
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Build and evolve systems for SAML, SCIM, OAuth2, and single sign-on (SSO) integrations
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Develop robust role-based and attribute-based access control systems (RBAC/ABAC) at organizational scale
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Build and scale billing infrastructure including invoicing, usage-based charging, and flexible pricing model support
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Implement audit logging, usage tracking, and metering pipelines to support compliance and billing accuracy
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Optimize enterprise onboarding and tenant lifecycle management for reliability and scalability
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Collaborate with security and compliance teams to support SOC2, GDPR, and other regulatory requirements
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Partner with infrastructure engineers to ensure identity and enterprise features are performant, reliable, and observable
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Engage directly with enterprise customers to translate requirements into secure, scalable platform capabilities
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Write clean, maintainable, and well-documented backend code
What You'll Bring:
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Technical experience
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5+ years of backend engineering experience with Python or Go (both preferred)
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Deep knowledge of authentication and identity standards including OAuth2, SAML, JWTs, and SCIM
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Experience building and scaling access control systems such as RBAC or ABAC frameworks
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Experience building billing or usage infrastructure in SaaS environments
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Familiarity with Postgres, Redis, APIs, and modern distributed backend infrastructure
Enterprise systems experience
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Comfort navigating enterprise security, compliance, and multi-tenant architectures
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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:
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Background in security, observability, or developer infrastructure
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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.
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Annual salary range: $175,000- $225,000
총 조회수
0
총 지원 클릭 수
0
모의 지원자 수
0
스크랩
0
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LangChain 소개

LangChain
Series BA platform that provides open-source frameworks and tools for engineering and deploying language model agents.
51-200
직원 수
San Francisco
본사 위치
$200M
기업 가치
리뷰
3.4
3개 리뷰
워라밸
2.5
보상
3.0
문화
2.8
커리어
3.2
경영진
2.3
35%
친구에게 추천
장점
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
단점
Uncertainty about long-term career prospects and employability
Projects rarely make it to production use
Lack of senior developer mentorship and guidance
연봉 정보
13개 데이터
Mid/L4
Senior/L5
Mid/L4 · Product Designer
1개 리포트
$178,619
총 연봉
기본급
$155,147
주식
-
보너스
-
$178,619
$178,619
면접 경험
10개 면접
난이도
2.7
/ 5
소요 기간
14-28주
합격률
60%
경험
긍정 50%
보통 40%
부정 10%
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Assessment/Take-home
4
Technical Interview
5
Virtual Onsite/Final Round
6
Offer
자주 나오는 질문
System Design
Machine Learning/AI Knowledge
Coding/Algorithm
Technical Architecture
Behavioral/STAR
뉴스 & 버즈
LangChain, Langflow, LiteLLM: When AI’s Foundation Code Becomes the Attack Surface - Security Boulevard
Security Boulevard
News
·
1w ago
DataCamp and LangChain Partner to Launch AI Engineering Learning Track - Business Wire
Business Wire
News
·
3w ago
Finally made it ugghhhh
https://preview.redd.it/61yq8yyinnrg1.png?width=462&format=png&auto=webp&s=1f821e417ef14ac8d60ecd0714297886a81586fa Hey I am 3rd year CS undergrad from Lower NIT, I started out my journey seriously in 2nd year by learning MERN nd stuff did an internship at the end of 4th sem (which was unpaind and work from home). During summer vacation I realised this web dev stuff is not for me and switched to learning ML nd boy I loved this domain (maybe since I sucked at web dev i was under pres
·
3w ago
·
19
·
23
LangChain Releases Comprehensive Agent Evaluation Checklist for AI Developers - mexc.com
mexc.com
News
·
3w ago