Developer Productivity
- Salary
- $165,000 - $250,000
- Level
- Mid
- Work type
- On-site · San Francisco
Not stated in the posting: visa.
Open. First seen 10 September 2026.
About the role
About Us
LangChain's standard text
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
LangChain's standard text
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the Team
The Infrastructure team builds and maintains the systems that power LangChain’s developer platform, including LangGraph Cloud and LangSmith. The team focuses on reliability, scalability, and developer productivity across the stack, working closely with backend, frontend, and platform engineers to ensure services are deployed, tested, and operated with confidence.
About the Role
We’re hiring a Software Engineer to join the Infrastructure team and own developer productivity across our LangGraph Cloud/Platform and LangSmith products. You’ll work closely with Infrastructure, Backend, and Frontend teams to ship with confidence across Kubernetes-based services, APIs, and UI flows. You’ll also help pioneer quality practices specific to LLM applications, such as prompt regression testing and evaluation suites.
Location: In person 5 days/week in San Francisco, CA or New York, NY
What You'll Do
- Own test strategy end-to-end across APIs, services, UI, data, and infrastructure (Kubernetes, Terraform, Helm)
- Stand up ephemeral test environments in Kubernetes for pull requests and release candidates; seed test data and run hermetic test suites
- Shift quality earlier in CI/CD pipelines (GitHub Actions) through parallelization, caching, deterministic seeds, flake tracking, and quality gates
- Build observability into testing workflows with rich failure artifacts such as logs, traces, and dashboards
- Establish performance and reliability baselines for critical paths, including SLIs, SLOs, and regression detection
- Partner on incident workflows by reproducing issues, adding targeted regression tests, and improving runbooks and postmortems
- Write documentation including test plans, playbooks, and contributor guidelines for writing high-quality tests
Example projects you might own
- A pull-request ephemeral end-to-end testing harness that deploys a minimal LangSmith stack in CI and runs Playwright and API suites against seeded tenants
- A k6 performance scenario that simulates multi-tenant traffic and surfaces p95/p99 latency regressions per release
- A flake-budget system that automatically quarantines flaky tests, opens issues with artifacts, and tracks time-to-deflake
What You'll Bring
- 3+ years of experience as a software engineer or infrastructure engineer
- Strong hands-on experience with Python and testing frameworks such as pytest
- Experience working with CI/CD systems (GitHub Actions preferred) and improving pipeline performance and reliability
- Solid understanding of API testing, mocking/stubbing, and data setup/teardown
- Comfort defining quality standards, writing test plans, and driving cross-team execution
Nice to Have
- Experience with load and performance testing tools such as k6
- Familiarity with observability tooling such as Datadog or OpenTelemetry
- Experience testing services running on Kubernetes and containerized environments
- Basic infrastructure experience with Helm, Terraform, Kubernetes networking, or secrets management
- SQL fluency for validating data (Postgres, ClickHouse, BigQuery)
- Familiarity with Go, Node, or React for targeted white-box tests and improving system testability
Compensation
- Annual salary range: $165,000- $250,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
What this role asks for
Particular to this role
BigQuery · CI/CD · ClickHouse · GitHub · Node.js · OpenTelemetry · Playwright · Pytest
Rare in LangChain's other 59 open postings.
In most of LangChain's ads
Cloudflare · LLM · Python
Named in most of its open postings, whatever the role.
82% of this description is written for the role. The rest is LangChain's standard text, folded away below.
Read against LangChain's other open postings on this site.
The team: Engineering HIRES STEADILY
This role is one of 26 open in Engineering. 7 were posted in the last 30 days and the oldest in February: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Cloudflare (26 of 26), LangChain (26 of 26), LLM (17 of 26), Python (16 of 26), TypeScript (13 of 26), Golang (11 of 26), PostgreSQL (11 of 26)
OTHER ROLES ON THIS TEAM
- FullStack Engineer, AI Observability & Evals Platform (LangSmith) posted Oct 14
- Senior Fullstack Software Engineer, AI Observability & Evals Platform (NY) posted Oct 8
- Senior Backend Software Engineer, AI Observability & Evals Platform (NYC) posted Oct 8
- Analytics Engineer posted Oct 5
- Software Engineering Manager, Database (SmithDB) posted Oct 5
- IT Systems Administrator posted Oct 5
- Senior Frontend Engineer, AI Observabilty Platform posted Sep 24
- Senior Fullstack Engineer, AI Observability & Evals Platform posted Sep 12
- Senior Backend Software Engineer, AI Observability & Evals Platform (LangSmith) posted Sep 12
- Software Engineering Manager, AI Observability & Evals Platform posted Sep 11
- Software Engineer, Agent Systems (GTM Engineering) posted Sep 6
- Senior Frontend Platform Engineer, Design Systems posted Aug 22
- Security Engineer - Detection & Response posted Aug 17
- Research Engineer, LangSmith Engine posted Aug 14
- Senior Frontend Engineer, AI Observability & Evals Platform posted Aug 13
- Frontend Engineer, AI Observability & Evals Platform posted Aug 12
- Product Designer posted Jul 23
- IT Systems Engineer posted Jul 10
- Senior Product Engineer - Growth & Monetization posted Jun 10
- Senior Software Engineer, Database (SmithDB) posted May 13
- GTM Engineer posted Apr 29
- GTM Engineer posted Feb 15
- Senior Backend Software Engineer, AI Observability & Evals Platform (SF) posted Jan 8
- Senior Fullstack Engineer, AI Observability & Evals Platform (SF) posted Feb 19
- Python OSS Engineer posted Feb 10
From the team and dates on LangChain's own job board.
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