refresh

트렌딩 기업

트렌딩

채용

JobsLangChain

Developer Productivity

LangChain

Developer Productivity

LangChain

San Francisco, CA

·

On-site

·

Full-time

·

1mo ago

Compensation

$160,000 - $225,000

Benefits & Perks

Team events and activities

401(k) matching

Parental leave

Flexible work arrangements

Professional development budget

Parental Leave

Flexible Hours

Learning

Required Skills

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

Total Views

0

Apply Clicks

0

Mock Applicants

0

Scraps

0

About LangChain

LangChain

LangChain

Series B

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

51-200

Employees

San Francisco

Headquarters

$200M

Valuation

Reviews

3.4

3 reviews

Work Life Balance

2.5

Compensation

3.0

Culture

2.8

Career

3.2

Management

2.3

35%

Recommend to a Friend

Pros

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

Cons

Uncertainty about long-term career prospects and employability

Projects rarely make it to production use

Lack of senior developer mentorship and guidance

Salary Ranges

9 data points

Mid/L4

Mid/L4 · Product Designer

1 reports

$178,619

total / year

Base

$155,147

Stock

-

Bonus

-

$178,619

$178,619

Interview Experience

10 interviews

Difficulty

2.7

/ 5

Duration

14-28 weeks

Offer Rate

60%

Experience

Positive 50%

Neutral 40%

Negative 10%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Assessment/Take-home

4

Technical Interview

5

Virtual Onsite/Final Round

6

Offer

Common Questions

System Design

Machine Learning/AI Knowledge

Coding/Algorithm

Technical Architecture

Behavioral/STAR