LangChain, Inc
About LangChain
At LangChain, 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, LangChain and LangGraph, see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences.
LangChain 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 own developer productivity across our LangGraph Cloud/Platform and LangSmith products. You'll define the test strategy, build automation and tooling, and turn flaky, slow, or manual checks into fast, reliable, and observable pipelines. 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). Build and maintain automation : API/integration tests (Python/pytest), E2E/browser tests (Playwright), load/soak tests (k6), contract tests, and smoke checks for production. 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 LangSmith 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 QA/SDET/Software Engineer focused on
test automation
for distributed or cloud products. Strong hands-on experience with
Python
(pytest) and
TypeScript
(Playwright, Jest or equivalent). 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/ClickHouse/BigQuery). 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: $145,000-$195,000 USD for Senior Engineers
At LangChain, 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, LangChain and LangGraph, see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences.
LangChain 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 own developer productivity across our LangGraph Cloud/Platform and LangSmith products. You'll define the test strategy, build automation and tooling, and turn flaky, slow, or manual checks into fast, reliable, and observable pipelines. 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). Build and maintain automation : API/integration tests (Python/pytest), E2E/browser tests (Playwright), load/soak tests (k6), contract tests, and smoke checks for production. 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 LangSmith 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 QA/SDET/Software Engineer focused on
test automation
for distributed or cloud products. Strong hands-on experience with
Python
(pytest) and
TypeScript
(Playwright, Jest or equivalent). 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/ClickHouse/BigQuery). 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: $145,000-$195,000 USD for Senior Engineers