Senior Platform Engineer, Ingestion

ABOUT US 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. 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 LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done. ABOUT THE ROLE THIS ROLE SITS AT THE CORE OF LANGSMITH: YOU'LL OWN THE INGESTION SYSTEMS, QUERY SYSTEMS, AND THE API, SDK, AND CLI SURFACES THAT THOUSANDS OF DEVELOPMENT TEAMS USE EVERY DAY. YOU'LL WORK AT THE INTERSECTION OF DISTRIBUTED SYSTEMS AND DEVELOPER EXPERIENCE, ON INFRASTRUCTURE THAT TEAMS ACROSS THE INDUSTRY DEPEND ON. WHAT YOU'LL DO: - Build and scale critical systems: design and operate high-throughput, data-intensive ingestion and trace-query systems supporting LangSmith, built on SmithDB https://www.langchain.com/blog/introducing-smithdb, our purpose-built database for agent observability. Build monitoring, alerting, and automated recovery so the pipeline stays resilient. - Set API, SDK, and CLI standards: define and enforce the standards, tooling, and CI that power SDK generation across Python, TypeScript, Go, and Java; keep our developer surfaces consistent, high-quality, and self-served across feature teams. - Own integrations: build new integrations and maintain existing ones so it's easy to use LangSmith with any AI framework, agent, or tool — keeping us framework-agnostic - Solve complex problems: debug performance bottlenecks, optimize database queries, and architect solutions for distributed-system challenges - Respond to incidents: participate in an on-call rotation focused on post-incident learning, automation, and prevention HOW TO BE SUCCESSFUL IN THIS ROLE: Many of these will apply to you — we don't expect every box checked. - Platform engineering: hands-on experience designing and running data-intensive systems at scale - Developer experience: a track record of building high-quality, widely-adopted CLIs, SDKs, or API standards that developers actually enjoy using - Database expertise: production experience with OSS datastores (PostgreSQL, Redis) - Backend languages: Strong backend software engineering skills with production-level experience in Go, Python, or TypeScript. - Infrastructure expertise: solid knowledge of cloud object storage, Kubernetes, containerized infrastructure, and cloud platforms (GCP, AWS) - Observability mastery: hands-on experience with observability stacks (Datadog, Prometheus/Grafana, OpenTelemetry, or similar) - Operational mindset and high agency: "you build it, you run it, you own it," with a focus on sustainable pract