LangChain

LangChain

Principal Software Engineer, AI Observability & Evals Platform

Boston, MA · Principal

Sponsorship not specified$230k-$270kDetected 69 days ago
TypeScriptPythonGoReactBackend DevelopmentFull-Stack DevelopmentCode ReviewPostgreSQLRedisAWSGCPAzureCloud PlatformsLLMsAgentic AILangGraphProduct ManagementProduct StrategyHRISLeadershipCommunicationMentoring

About the role

  • If you're energized by both hands-on engineering and the multiplier effect of leveling up those around you, this role is built for that.
  • If you want to help define what great AI observability looks like at production scale, this is where that work gets done.

Responsibilities

  • Lead architectural decisions across our Go, Python, and TypeScript stack, ensuring systems are performant, maintainable, and built to scale
  • Drive tracing, monitoring, and evaluation workflows at scale, with a focus on reliability and query performance across high-volume data
  • Help shape the product roadmap by partnering closely with product and design - not just executing on it
  • Set engineering standards for the team: define patterns, lead code reviews, and establish the foundations others build on
  • Mentor and grow engineers at all levels through code review, design feedback, pairing, and ongoing technical guidance
  • Drive projects from ambiguity to delivery while maintaining high engineering standards and aggressive timelines
  • Troubleshoot and resolve production issues with a root-cause mindset, and implement durable fixes
  • Create and maintain technical documentation, including system design docs and API references

Requirements

  • Experience with high-throughput or mission-critical systems, and a proven ability to optimize for performance and reliability

Nice to have

  • Experience with database systems (Postgres, Redis, ClickHouse) and cloud platforms (AWS, GCP, or Azure)
  • Familiarity with observability tooling, evaluation frameworks, or AI/LLM infrastructure

Skills

  • Demonstrated experience making and owning architectural decisions, including tradeoffs around data systems, APIs, and service reliability
  • Depth in operationalizing technical work - you've taken systems from prototype to production and kept them running well at scale
  • Demonstrated track record of mentoring engineers and raising the technical quality of a team, not just the codebase
  • Customer centricity and an ownership mentality - you care how the product lands, not just how the code reads
  • You exemplify our operating principles https://www.langchain.com/careers

Compensation

  • 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.
  • $230,000 - $270,000
  • Compensation Philosophy:

Benefits

  • Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
  • Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.

Company info

  • 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.
  • 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.
  • The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems.
  • From tracing and annotation to run rules, evaluations, and beyond, they own this end-to-end.
  • Ensure system reliability through strong testing, monitoring, and alerting practices
  • 10+ years of professional experience in backend or fullstack engineering on highly complex, production systems
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This listing is sourced directly from LangChain's careers page and normalized into a canonical job model.