L

LangChain

Builds open-source tools for making AI agents

Senior Backend Software Engineer - AI Observability & Evals Platform

Backend EngineeringUpdated on Nov 14
Full-time

About the Job

Requirements

  • At least 4 years of professional backend engineering experience working on highly complex products.
  • Proficiency in one or more backend languages or frameworks.
  • 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.
  • Strong communication skills to collaborate cross-functionally.
  • Customer centricity and an ownership mentality.

Responsibilities

  • 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 testing, monitoring, and alerting practices.
  • Troubleshoot and resolve production issues, perform root-cause analysis, and implement long-term fixes.
  • Create and maintain technical documentation, including system design and API references.
  • Work with full-stack engineers, product managers, and product designers to roll out new features.

Desired Qualifications

  • Familiarity with full-stack or frontend engineering, performance tuning, and debugging production issues.
  • Experience with Python and/or Go.
  • Experience with database systems such as Postgres, Redis, and ClickHouse, and cloud platforms such as AWS, GCP, and Azure.

About the Company

LangChain

Builds open-source tools for making AI agents

LangChain makes free, open-source code libraries and a paid platform that software teams use to build and run AI agents, programs that use large language models to plan and finish tasks on their own. Its first library came out in October 2022, a month before ChatGPT, and in 2023 GitHub listed it among the open-source projects with the most contributors. Developers write agents with its LangChain, LangGraph, and Deep Agents libraries, which connect AI models to company data and software tools. Companies then pay for LangSmith, a platform that records each step an agent takes, scores its answers, and hosts finished agents. LangChain was founded in 2023 and is based in San Francisco.

Company size
201-500
Company stage
Late Stage VC
Total funding
$460M
Headquarters
San Francisco, CA
Founded
2023

Recently Posted Jobs

Explore more opportunities at LangChain

See more jobs