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Senior Backend Software Engineer, Observability & Evals Platform (LangSmith)
San Francisco, CA
·
On-site
·
Full-time
·
2mo ago
報酬
$175,000 - $225,000
福利厚生
•Parental Leave
•Healthcare
必須スキル
TypeScript
JavaScript
React
About Lang Chain:
At Lang Chain, our mission is to make intelligent agents ubiquitous. We provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast.
Our open source frameworks, Lang Chain and Lang Graph, see over 90+ million downloads per month and help developers build agents with speed and granular control. Lang Smith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences.
Lang Chain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and more.
About the role:
In person 5 days/week in San Francisco, Boston, MA, New York.
We are looking for a Senior Backend Engineer to join us. In this role you will be building the backend systems that power Lang Chain’s observability and evals platform. You will work on the core services that allow developers to monitor and evaluate their AI applications at scale. While the focus is on backend feature development, familiarity with fullstack or frontend engineering, performance tuning, and debugging production issues would be extremely valuable.
What you will do:
- Design, develop, and maintain backend services and APIs to support Lang Smith’s tracing, monitoring, and evaluation workflows.
- Collaborate on architectural decisions to ensure systems are performant and maintainable.
- Optimize storage and query performance for high-volume observability and evaluation data.
- Ensure system reliability through strong testing, monitoring, and alerting practices.
- Troubleshoot and resolve production issues, performing root-cause analysis and implementing long-term fixes.
- Create and maintain technical documentation, including system design and API references.
- Work closely with full-stack engineers, product managers, and product designers on rolling out new features.
How to be successful in this role:
- 5+ years of professional experience in backend engineering
- Proficiency in one or more backend languages/frameworks, ideally Python or Go
- Strong understanding of API design and building reliable data services.
- Experience with high-throughput or mission-critical systems.
- Demonstrated ability to optimize backend services for performance and reliability.
- Experience with database systems (Postgres, Redis, Clickhouse), and cloud platforms (AWS, GCP, Azure)
- Strong communication skills, with the ability to collaborate cross-functionally
- Customer centricity and ownership mentality
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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LangChainについて

LangChain
Series BA platform that provides open-source frameworks and tools for engineering and deploying language model agents.
51-200
従業員数
San Francisco
本社所在地
$200M
企業価値
レビュー
3.4
3件のレビュー
ワークライフバランス
2.5
報酬
3.0
企業文化
2.8
キャリア
3.2
経営陣
2.3
35%
友人に勧める
良い点
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
改善点
Uncertainty about long-term career prospects and employability
Projects rarely make it to production use
Lack of senior developer mentorship and guidance
給与レンジ
13件のデータ
Mid/L4
Senior/L5
Mid/L4 · Product Designer
1件のレポート
$178,619
年収総額
基本給
$155,147
ストック
-
ボーナス
-
$178,619
$178,619
面接体験
10件の面接
難易度
2.7
/ 5
期間
14-28週間
内定率
60%
体験
ポジティブ 50%
普通 40%
ネガティブ 10%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Assessment/Take-home
4
Technical Interview
5
Virtual Onsite/Final Round
6
Offer
よくある質問
System Design
Machine Learning/AI Knowledge
Coding/Algorithm
Technical Architecture
Behavioral/STAR
ニュース&話題
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
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3w ago
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19
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23
LangChain Releases Comprehensive Agent Evaluation Checklist for AI Developers - mexc.com
mexc.com
News
·
3w ago