Backend Software Engineer, AI Observability & Evals Platform

Langchain, Inc
Boston, MA, United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$175,000.0 - $240,000.0
Working hours
Regular working hours
Job source

Tech stack

Query Performance Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Databases Data as a Services Software Debugging Python (Programming Language) PostgreSQL Performance Tuning
+7 more
Redis Google Cloud Reliability of Systems Backend Front End Software Development Vertica Api Design

Job description

In person 5 days/week in San Francisco, Boston, MA, New York., We are looking for a Senior Backend Engineer to join us. In this role you will be building the backend systems that power LangChain’s observability and evals platform. You will work on the core services that allow developers to monitor and evaluate their AI applications at scale. While the focus is on backend feature development, familiarity with fullstack or frontend engineering, performance tuning, and debugging production issues would be extremely valuable., * Design, develop, and maintain backend services and APIs to support 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, performing root-cause analysis and implementing long-term fixes.
  • Create and maintain technical documentation, including system design and API references.
  • Work closely with full-stack engineers, product managers, and product designers on rolling out new features.

Requirements

  • 5+ years of professional experience in backend engineering working on highly complex products
  • Proficiency in one or more backend languages/frameworks, ideally Python or Go
  • Strong understanding of API design and building reliable data services.
  • Experience with high-throughput or 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)
  • Strong communication skills, with the ability to collaborate cross-functionally
  • Customer centricity and ownership mentality

Benefits & conditions

Annual salary range: $175,000- $240,000

Compensation Philosophy:

We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations., Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

About the company

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.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:16 min

Writing foundational applications with LangChain expression language

Julián Duque Julián Duque · World Congress 2025

3:55 min

Demonstrating semantic routing thresholds with the Redis vector library

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

1:38 min

Transitioning into backend engineering from web development

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

3:42 min

Comparing in-memory and Redis storage for cache scalability

Simone Sanfratello · World Congress 2022

1:12 min

Choosing TypeScript for complex backend applications

Maximilian Otto Maximilian Otto · World Congress 2024

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