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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
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About LangChain

LangChain
Series BA 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
News & Buzz
LangChain: $125 Million Raised To Advance Agent Engineering Platform - Pulse 2.0
Source: Pulse 2.0
News
·
19w ago
LangChain Raises $125M in Series B, Hits $1.25B Unicorn Valuation - WebProNews
Source: WebProNews
News
·
19w ago
Sequoia backs AI agent tools LangChain at $1.3b valuation - Tech in Asia
Source: Tech in Asia
News
·
19w ago
LangChain becomes unicorn with $1.25B valuation in Series B - The Tech Buzz
Source: The Tech Buzz
News
·
19w ago