
Job Overview
Location
San Francisco, CA
Job Type
Full-time
Category
Backend Engineer
Date Posted
March 9, 2026
Full Job Description
đź“‹ Description
- • Join LangChain, Inc., a pioneering company at the forefront of making intelligent agents ubiquitous, and contribute to the development of our groundbreaking LangSmith platform. As a Backend Engineer specializing in Observability & Evals, you will play a pivotal role in shaping the future of AI application development by building the robust backend systems that power our state-of-the-art observability and evaluation tools. Our mission is to empower developers with the agent engineering platform and open-source frameworks they need to ship reliable agents at an unprecedented pace. With over 90 million monthly downloads for our LangChain and LangGraph frameworks, and trusted by leading AI teams globally, LangChain is at the epicenter of AI innovation.
- • In this critical role, you will be instrumental in designing, developing, and maintaining the core backend services and APIs that underpin LangSmith's comprehensive tracing, monitoring, and evaluation workflows. You will tackle complex challenges related to handling high-volume observability and evaluation data, ensuring optimal storage and query performance. Your contributions will directly impact the ability of developers worldwide to monitor, debug, and refine their AI applications, transforming LLM systems into dependable production experiences.
- • You will be a key collaborator in architectural decision-making, focusing on building systems that are not only performant but also highly maintainable and scalable. This involves a deep dive into optimizing backend services for both speed and unwavering reliability, ensuring our platform can handle the demands of a rapidly evolving AI landscape. Your expertise will be crucial in maintaining the integrity and responsiveness of our services, allowing developers to iterate rapidly and confidently.
- • A significant aspect of your role will involve ensuring the utmost system reliability through the implementation of strong testing methodologies, comprehensive monitoring strategies, and proactive alerting practices. You will be on the front lines of troubleshooting and resolving production issues, employing rigorous root-cause analysis to identify underlying problems and implementing robust, long-term fixes. This proactive approach to system health is paramount to our users' success.
- • Beyond core development, you will contribute to the knowledge base by creating and maintaining essential technical documentation, including detailed system designs and clear API references. This ensures that our internal teams and external developers have the resources they need to understand and leverage the full capabilities of the LangSmith platform.
- • You will work in close partnership with talented full-stack engineers, insightful product managers, and innovative product designers to bring new features to life. This cross-functional collaboration is key to our agile development process, ensuring that we deliver features that are not only technically sound but also meet the evolving needs of our user base. Your ability to communicate effectively and contribute to a shared vision will be vital.
- • While the primary focus is on backend feature development, a strong understanding of full-stack principles, frontend engineering, performance tuning, and debugging production issues will be exceptionally valuable. This holistic perspective allows for more integrated solutions and a deeper understanding of the end-to-end user experience.
- • This role offers a unique opportunity to be part of a fast-growing company that is shaping the future of AI development. You will work with cutting-edge technologies and contribute to a product that is already making a significant impact in the developer community. Your work will directly enable the creation of more intelligent, reliable, and powerful AI applications across a multitude of industries.
Skills & Technologies
About LangChain, Inc.
LangChain, Inc. provides open-source software libraries and cloud services for building applications that integrate large language models with external data sources and workflows. Its tools help developers create retrieval-augmented generation systems, manage prompts, chain model calls, and monitor performance in production environments. The company was founded in 2023 and is headquartered in San Francisco, California.
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