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FullStack Engineer, AI Observability & Evals Platform (LangSmith)

Location
San Francisco, CA
Compensation
$145k–$180k/yr
Level
mid
Type
full time · On-site

Posted by employer 2 weeks ago

First seen on Joblaze 6 months ago

Last verified on the company career page 15 hours ago

Requirements

Experience
2+ years

Not disclosed in this posting: visa sponsorship.

Benefits

401k Match Flexible Vacation Equity/Stock Options Health Insurance Dental Insurance Life Insurance

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 6 months ago — first seen on Joblaze April 14, 2026. Last confirmed on LangChain's careers page October 28, 2026.
  • Salary band is below the typical range for Fullstack roles (median ~$165,000).
  • Starts above 61% of 70 comparable mid fullstack roles in United States that list React we track (median $130,000 across 35 companies). See React salary trends
  • React appears in 72.7% of 183 comparable mid fullstack roles in United States; Redis appears in 4.4% of 183 comparable mid fullstack roles in United States.

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: Go, PostgreSQL, Python, React, Redis, TypeScript.
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

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

Standard company text repeated across LangChain's postings is omitted here.

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