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Salary: USD 180,000 - 240,000 / annual
LangChain is building the foundation for agent engineering, helping developers move from prototypes to production-ready AI agents. The company has raised $125M at Series B and operates a platform that includes LangSmith (observability, evaluation, deployment, fleet, and sandboxes), open-source frameworks (LangChain, LangGraph, Deep Agents), and LangSmith Engine for autonomous agent improvement. With 100M+ monthly open-source downloads, 6,000+ active LangSmith customers, and adoption across Fortune 500 companies including Klarna, Coinbase, Workday, and Nvidia, LangChain is at an inflection point of growth and product expansion.
The LangSmith team owns the core platform for observability, evaluation, and production reliability of AI systems. This Senior Backend Engineer role focuses on building the backend systems that power LangSmith's tracing, monitoring, and evaluation workflows.
Key responsibilities include:
- Design, develop, and maintain backend services and APIs supporting LangSmith's tracing, monitoring, and evaluation workflows
- Collaborate on architectural decisions to ensure systems are performant and maintainable
- Optimize storage and query performance for high-volume observability and evaluation data
- Ensure system reliability through strong testing, monitoring, and alerting practices
- Troubleshoot and resolve production issues with root-cause analysis and long-term fixes
- Create and maintain technical documentation including system design and API references
- Work closely with full-stack engineers, product managers, and designers on feature rollouts
While the focus is backend feature development, familiarity with fullstack or frontend engineering, performance tuning, and debugging production issues would be valuable.
REQUIREMENTS:
- 4+ years of professional experience in backend engineering on highly complex products
- Proficiency in one or more backend languages/frameworks, ideally Python and/or Go
- Strong understanding of API design and building reliable data services
- Experience with high-throughput, mission-critical systems
- Demonstrated ability to optimize backend services for performance and reliability
- Experience with database systems (Postgres, Redis, Clickhouse) and cloud platforms (AWS, GCP, Azure) is a bonus
- Strong communication skills and ability to collaborate cross-functionally
- Customer centricity and ownership mentality
About LangChain
AI / Data / Infrastructure — developer platform and framework for building LLM applications and agents.
