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职位LangChain

Developer Productivity

LangChain

Developer Productivity

LangChain

San Francisco, CA

·

On-site

·

Full-time

·

2mo ago

薪酬

$160,000 - $225,000

福利待遇

Parental Leave

Flexible Hours

Learning

必备技能

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

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关于LangChain

LangChain

LangChain

Series B

A platform that provides open-source frameworks and tools for engineering and deploying language model agents.

51-200

员工数

San Francisco

总部位置

$200M

企业估值

评价

3.4

3条评价

工作生活平衡

2.5

薪酬

3.0

企业文化

2.8

职业发展

3.2

管理层

2.3

35%

推荐给朋友

优点

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

缺点

Uncertainty about long-term career prospects and employability

Projects rarely make it to production use

Lack of senior developer mentorship and guidance

薪资范围

13个数据点

Mid/L4

Senior/L5

Mid/L4 · Product Designer

1份报告

$178,619

年薪总额

基本工资

$155,147

股票

-

奖金

-

$178,619

$178,619

面试经验

10次面试

难度

2.7

/ 5

时长

14-28周

录用率

60%

体验

正面 50%

中性 40%

负面 10%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Assessment/Take-home

4

Technical Interview

5

Virtual Onsite/Final Round

6

Offer

常见问题

System Design

Machine Learning/AI Knowledge

Coding/Algorithm

Technical Architecture

Behavioral/STAR