Is the FullStack Engineer, AI Observability & Evals Platform (LangSmith) role remote?

No — this is an on-site role in San Francisco, CA.

What's the salary range?

LangChain lists $145,000–$180,000 for this role.

How much experience is required?

At least 2 years of relevant experience for this FullStack Engineer, AI Observability & Evals Platform (LangSmith) role.

Where is the role based?

LangChain is hiring for this position in San Francisco, CA.

What's the tech stack?

Joblaze extracted these technologies from the posting: TypeScript, Go, React, Python, PostgreSQL, Redis.

What seniority level is this role?

LangChain targets mid-level candidates for this position.

Is this full-time or contract?

Full-time for this FullStack Engineer, AI Observability & Evals Platform (LangSmith) role at LangChain.

Joblaze summary

In the role of Fullstack Engineer at LangChain, the individual will focus on developing and implementing features for the LangSmith AI observability platform, collaborating closely with enterprise clients and internal teams. Proficiency in Go or Python for backend development, along with React and Typescript for the frontend, is essential, as is experience with database systems like Postgres and Redis. This position is ideal for someone with over two years of software engineering experience who thrives in a fast-paced environment and values strong communication and collaboration.

Joblaze insights

Listed about a month ago on Joblaze — tracked directly from LangChain's career page.
LangChain has 101 other open roles including Enterprise Account Executive (Minneapolis), Web Lead, Commercial Sales Director - East.
2358 active Python roles on Joblaze right now.
712 active Go roles on Joblaze right now.
501 active TypeScript roles on Joblaze right now.
Salary band is below the typical range for Fullstack (median ~$164,245).

Quick facts

Is the FullStack Engineer, AI Observability & Evals Platform (LangSmith) role remote?: No — this is an on-site role in San Francisco, CA.
What's the salary range?: LangChain lists $145,000–$180,000 for this role.
How much experience is required?: At least 2 years of relevant experience for this FullStack Engineer, AI Observability & Evals Platform (LangSmith) role.
Where is the role based?: LangChain is hiring for this position in San Francisco, CA.
What's the tech stack?: Joblaze extracted these technologies from the posting: TypeScript, Go, React, Python, PostgreSQL, Redis.
What seniority level is this role?: LangChain targets mid-level candidates for this position.
Is this full-time or contract?: Full-time for this FullStack Engineer, AI Observability & Evals Platform (LangSmith) role at LangChain.

From the original posting

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.

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.

About the role

We're looking for a Fullstack Engineer to work on LangSmith, our commercial AI observability and evals platform product. In this role, you'll have the opportunity to build new features and functionality for the platform while working close enterprise customers, developer end-users and internal stakeholders.

What you will do

Develop and implement key product features working across our entire Go, Python, and Typescript stack
Collaborate closely with product and design teams to iterate on new features and enhance the product roadmap
Drive aggressive project timelines while ensuring high engineering standards are being met by writing clean, maintainable, and well-tested code

How to be successful in this role

2+ 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
Solid understanding of database systems, particularly Postgres and Redis
Experience designing and scaling APIs, preferably in high-performance, data-intensive applications
Strong ownership and a “get stuff done” mindset - 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
Bonus: Experience with AI/LLM-powered applications, developer tools, or observability platforms

Compensation
Annual salary range: $145,000-180,000 USD

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

Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.