Senior Fullstack Engineer, AI Observability & Evals Platform

Reposted 11 Days Ago
Be an Early Applicant
3 Locations
In-Office
165K-198K Annually
Senior level
Information Technology • Software • Database
The Role
Lead the technical architecture and implementation for LangSmith, collaborating with teams, mentoring juniors, and ensuring code quality.
Summary Generated by Built In

About Us:

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.

Today, LangChain, LangGraph, LangSmith, and Agent Builder 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.

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.

About the role:

In person 5 days/week in San Francisco

We're looking for a Senior Fullstack Engineer for our commercial product LangSmith, an observability and evals platform. In this role, you'll have the opportunity to shape the technical direction of our platform while working closely with enterprise customers, developer end-users and internal stakeholders.

  • Lead the technical architecture and implementation of key product features for LangSmith, working across our entire Go, Python, and Typescript stack.

  • Collaborate closely with product and design teams to iterate on new features.

  • Mentor and guide more junior members of the team. Drive aggressive project timelines while ensuring high engineering standards are being met.

  • Lead by example in writing clean, maintainable, and well-tested code

How to be successful in this role

  • 7+ years of experience in software engineering working on complex platform products

  • Fullstack engineering experience with Go or Python on the backend and React + Typescript on the frontend.

  • Strong understanding of database systems, particularly Postgres and Redis

  • Experience designing and scaling APIs, preferably in a high-performance, data-intensive application

  • A “get stuff done” attitude - comfortable shipping fast and iterating based on user feedback

  • Strong communicator with the ability to collaborate closely with various internal stakeholders and engage directly with our top-tier customers

  • Strong ownership mindset

  • Bonus: Experience with AI/LLM-powered applications, developer tools, or observability platforms

Compensation & Benefits

  • We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations.

  • Annual salary range: $175,000-$225,000 USD

Top Skills

Go
Postgres
Python
React
Redis
Typescript
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The Company
123 Employees

What We Do

LangChain is the platform for building reliable agents. Our products power top engineering teams — from fast-growing startups like Lovable, Mercor, and Clay to global brands including AT&T, Home Depot, and Klarna. LangGraph is a low-level orchestration framework for building controllable agents and long-running workflows. It’s used in production by teams at Replit, Uber, LinkedIn, GitLab, and more. LangSmith offers unified evaluation and monitoring to help developers debug, evaluate, and improve their agents at scale. LangChain provides hundreds of integrations and composable components, making it easy to connect with the latest models, tools, and databases — with minimal engineering overhead. Together, these tools help teams build, deploy, and manage enterprise-grade agents, faster.

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