Responsibilities
- Design and operate high-throughput, data-intensive ingestion and trace-query systems for LangSmith using SmithDB.
- Build monitoring, alerting, and automated recovery to keep the ingestion pipeline resilient.
- Define API, SDK, and CLI standards, tooling, and CI for SDK generation across Python, TypeScript, Go, and Java.
- Build and maintain integrations for AI frameworks, agents, and tools.
- Debug performance bottlenecks, optimize database queries, and architect solutions for distributed-system challenges.
- Participate in an on-call rotation focused on post-incident learning, automation, and prevention.
Requirements
- Hands-on experience designing and running data-intensive platform systems at scale.
- A track record of building widely adopted CLIs, SDKs, or API standards.
- Production experience with PostgreSQL and Redis or comparable open-source datastores.
- Strong backend software engineering experience with Go, Python, or TypeScript.
- Knowledge of cloud object storage, Kubernetes, containerized infrastructure, and GCP or AWS.
- Hands-on experience with observability stacks such as Datadog, Prometheus/Grafana, or OpenTelemetry.
- At least 5 years of experience building and operating production systems, developer-facing APIs, or both.
- Strong experience with Java is preferred.
- Knowledge of columnar file and memory formats and OLAP databases is preferred.
- Experience in high-growth startups is preferred.
Benefits
- Fully remote within Europe, excluding France.
- Health, medical, dental, and vision coverage.
- Flexible vacation.
- 401(k) plan and life insurance.
- Meaningful equity and locally competitive benefits for EU and UK team members.
- Meals on in-office days in the US.
Tech Stack
About LangChain
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. What began as widely adopted open-source tools has grown into a platform for building, evaluating, deploying, and operating agents at scale. LangChain provides the agent engineering platform and open source frameworks developers need to ship reliable agents fast. LangSmith offers observability, evaluation, and deployment for rapid iteration. Our open source frameworks, LangGraph, LangChain, and Deep Agents, help developers build agents with speed and granular control. LangSmith is trusted by leading AI teams at Zip, Vanta, Klarna, Workday, Linkedin, Cloudflare, and more.