Langchain

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.

About LangChain LangChain was founded in early 2023 to help developers build context-aware reasoning applications. LangChain, open source software, is a framework that gives developers the building blocks to create production-ready applications with LLMs. LangSmith is our commercial, all-in-one SaaS platform that enables the end-to-end development workflow for building LangChain and LLM-powered apps. LangSmith is now trusted by the best teams building with LLMs, at companies such as Airbnb, ByteDance, Klarna, Google, Meta, Home Depot, and our 50+ paying enterprise customers. Backed by some of the best venture capitalists, Benchmark and Sequoia, we have 10x'd our revenue last year and have big ambitions and are set up to build an enduring business. About the role Location: Europe Respond to incidents involving LangSmith and LangGraph Platform (Cloud SaaS) during GMT/CET on-call hours, diagnosing and resolving issues promptly. Monitor, maintain, and improve the reliability and performance of our commercial products (LangSmith and LangGraph Platform). Develop and automate solutions to reduce manual intervention in operations. Continue to improve monitoring and alerting capabilities using observability solutions like Datadog. How to be successful in this role Bachelor's degree in Computer Science, or related field. 5+ years in Site Reliability Engineering, Infrastructure or a related field. Strong knowledge of Kubernetes. Strong knowledge of monitoring and observability tools (e.g., Datadog). Strong knowledge of Redis and Postgres. Programming experience, particularly in Python and Go. Familiarity with ClickHouse and Google Cloud Platform is a strong plus. Strong problem-solving skills and the ability to perform under pressure. Excellent communication skills to collaborate with a distributed team.