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:Join our platform engineering team as we scale LangSmith Platform products. You'll architect and operate the critical systems that power our customers' AI observability, working directly with cutting-edge technologies at the intersection of AI and distributed systems.
Build and Scale critical systems: Design and implement high throughput data-intensive ingestion systems supporting our flagship SaaS products (LangSmith and LangGraph Platform)
Drive reliability: Build monitoring, alerting, and automated recovery systems that maintain high uptime
SDK : Design and build developer-friendly SDKs for the LangSmith platform in Python, TypeScript, Go and Java.
Solve complex problems: Debug performance bottlenecks, optimize database queries, and architect solutions for distributed system challenges
Shape platform strategy: Influence technical decisions around infrastructure, tooling, and operational practices as we grow from startup to enterprise scale
Respond to incidents: Participate in on-call rotation with focus on post-incident learning, automation and prevention
Experience: 5+ years building and operating production systems at scale
Programming proficiency: Strong hands-on software engineering skills (Python, Go, Rust)
Database expertise: Production experience with OSS datastores (PostgreSQL, Redis)
Infrastructure expertise: Deep knowledge of Cloud Object Storage, Kubernetes, containerized infrastructure, cloud platforms (e.g. GCP)
Observability mastery: Hands-on experience with observability stacks (Datadog, Prometheus/Grafana, OpenTelemetry or similar)
Operational mindset: "You build it, you run it, you own it" philosophy with the focus on sustainable practices
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: $175,000-$225,000 USD for Senior Engineers
Top Skills
Similar Jobs
.png)
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
