Principle Software Engineer, AI Observability & Evals Platform

LangChain•Cambridge, MA

1d•Hybrid

About The Position

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, LangChain, LangGraph, LangSmith, and Fleet are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500. 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. If you want to help define what great AI observability looks like at production scale, this is where that work gets done. We're looking for a Principal/Lead level Software Engineer to join the LangSmith team and help drive the technical direction of the platform. You'll build across the full stack from backend services and APIs to frontend product surfaces, and you'll play a central role in shaping how we build: setting engineering standards, mentoring engineers across the team, and making architectural decisions that hold up as we scale. 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. Location: This role can be based in our Boston, San Francisco, or NYC office.

Requirements

10+ years of professional experience in backend or fullstack engineering on highly complex, production systems
Strong programming skills across multiple parts of the stack: backend (Python and/or Go) and frontend (TypeScript, React, or similar)
Demonstrated experience making and owning architectural decisions, including tradeoffs around data systems, APIs, and service reliability
Experience with high-throughput or mission-critical systems, and a proven ability to optimize for performance and 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
Strong communication skills and comfort operating cross-functionally with product, design, and engineering leadership
Customer centricity and an ownership mentality — you care how the product lands, not just how the code reads
You exemplify our operating principles

Nice To Haves

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

Responsibilities

Lead architectural decisions across our Go, Python, and TypeScript stack, ensuring systems are performant, maintainable, and built to scale
Work across the full stack, owning features end-to-end from backend services and APIs through to frontend product experiences
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
Ensure system reliability through strong testing, monitoring, and alerting practices
Create and maintain technical documentation, including system design docs and API references