채용

FullStack Engineer, Observability & Evals Platform (LangSmith)
San Francisco, CA
·
On-site
·
Full-time
·
2mo ago
보상
$145,000 - $180,000
복지 및 혜택
•Equity
•Healthcare
•Learning
•Flexible Hours
•Parental Leave
필수 스킬
React
TypeScript
JavaScript
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 role:
In person 5 days/week in San Francisco
We're looking for a Fullstack Engineer to work on Lang Smith, our commercial AI observability and evals platform product. In this role, you'll have the opportunity to build new features and functionality for the platform while working close enterprise customers, developer end-users and internal stakeholders.
What you will do:
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Develop and implement key product features working across our entire Go, Python, and Typescript stack
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Collaborate closely with product and design teams to iterate on new features and enhance the product roadmap
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Drive aggressive project timelines while ensuring high engineering standards are being met by writing clean, maintainable, and well-tested code
How to be successful in this role
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2+ years of experience in software engineering working on complex platform products
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Fullstack engineering experience with Go or Python on the backend and React + Typescript on the frontend
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Solid understanding of database systems, particularly Postgres and Redis
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Experience designing and scaling APIs, preferably in high-performance, data-intensive applications
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Strong ownership and a “get stuff done” mindset - comfortable shipping fast and iterating based on user feedback
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Strong communicator with the ability to collaborate closely with various internal stakeholders and engage directly with our top-tier customers
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Bonus: Experience with AI/LLM-powered applications, developer tools, or observability platforms
Compensation & Benefits:
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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: $145,000-180,000 USD
총 조회수
1
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
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19
·
23
LangChain Releases Comprehensive Agent Evaluation Checklist for AI Developers - mexc.com
mexc.com
News
·
3w ago