Platform Engineer - Reliability & Scale

About LangChain

At LangChain, our mission is to make intelligent agents ubiquitous. We help developers build mission-critical AI applications across the entire agent development lifecycle. Our open source frameworks — LangChain and LangGraph — see over 70+ million downloads per month. Developers rely on LangChain for composable integrations and LangGraph for controllable agent orchestration. Our commercial agent platform, consisting of LangSmith and LangGraph Platform, enables teams to build, test, run, and manage agents at scale across their organization.

Founded in 2023, LangChain powers top engineering teams at companies like Replit, Lovable, Clay, Klarna, LinkedIn, and more.

About the role

Join our platform engineering team as we scale LangSmith and LangGraph Platform products. You'll work in Europe (remotely) and architect and operate the critical systems that power our customers' AI observability and LangGraph app deployments, working directly with cutting-edge technologies at the intersection of AI and distributed systems.

• Scale critical systems: Design and implement high throughput data-intensive systems supporting our flagship SaaS products (LangSmith and LangGraph Platform)

• Drive reliability: Build monitoring, alerting, and automated recovery systems that maintain high uptime

• 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

How to be successful in this role

• Experience: 5+ years building and operating production systems at scale

• Infrastructure expertise: Deep knowledge of Kubernetes, containerized infrastructure, cloud platforms (e.g. GCP)

• Database expertise: Production experience with OSS datastores (PostgreSQL, Redis, Kafka)

• Observability mastery: Hands-on experience with observability stacks (Datadog, Prometheus/Grafana, OpenTelemetry or similar)

• Programming proficiency: Strong hands-on software engineering skills (Python, Go, Rust)

• Operational mindset: "You build it, you run it, you own it" philosophy with the focus on sustainable practices

Nice to Have

• Proficiency with analytical databases (e.g. ClickHouse)

• Background in high-growth startups

• Previous experience in AI/ML infrastructure

Compensation & Benefits

• Competitive salary and equity stake for role and stage of company. Commensurate with experience.