채용
복지 및 혜택
•Parental Leave
•Flexible Hours
•Learning
필수 스킬
Python
JavaScript
Node.js
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, CA or New York, NY
We’re hiring a Software Engineerto join the Infra team and own developer productivity across our Lang Graph Cloud/Platform and Lang Smith products. You’ll work closely with Infra, Backend, and Frontend to ship with confidence across Kubernetes-based services, APIs, and UI flows—and you’ll help pioneer quality practices specific to LLM applications (e.g., prompt regressions and evaluation suites).
- Own test strategy end-to-end across APIs, services, UI, data, and infra (K8s/Terraform/Helm).
- Stand up ephemeral test environments in Kubernetes for PRs and release candidates; seed test data and run hermetic suites.
- Shift-left quality in CI/CD (GitHub Actions): parallelization, caching, deterministic seeds, flake tracking, and quality gates.
- Observability for tests: rich failure artifacts (videos, logs, traces), Datadog dashboards, and actionable alerts.
- Performance & reliability: baseline SLIs/SLOs for critical paths; capacity tests and regression detection.
- Partner on incident workflows: reproduce issues, add focused regression tests, and improve runbooks/postmortems.
- Documentation: high-signal test plans, playbooks, and contributor guidelines for writing good tests.
Example projects you might own
- A PR-ephemeral E2E harness that deploys a minimal Lang Smith stack on Docker in CI and runs Playwright + API suites against seeded tenants.
- A k6 scenario that simulates multi-tenant traffic with queue/backpressure, surfacing p95/p99 latency regressions per release.
- A flake-budget system that auto-quarantines flaky tests, opens issues with artifacts, and tracks “time-to-deflake”.
How to be successful in this role
- 3+ years as Infra Engineer/Software Engineer focused on
- Strong hands-on experience with Python (pytest)
- Familiarity with CI/CD (GitHub Actions preferred) and making pipelines fast, parallel, and reliable.
- Solid understanding of API testing, mocking/stubbing, and data setup/teardown.
- Comfortable defining quality bars, authoring test plans, and driving cross-team execution.
Bonus
- Load/perf testing (k6), observability(Datadog, OpenTelemetry), and** property-based testing** (Hypothesis).
- Experience testing services running on Kubernetes and containers; comfortable with logs, events, and basic kubectl.
- Infra awareness: Helm/Terraform basics, Kubernetes networking, and secrets management.
- SQL fluency for data validation (Postgres/Click House/Big Query).
- Go/Node/React familiarity for targeted white-box tests and testability improvements.
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: $160,000- $225,000 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
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23
LangChain Releases Comprehensive Agent Evaluation Checklist for AI Developers - mexc.com
mexc.com
News
·
3w ago