LangChainFrontend Engineer, AI Observability & Evals Platform
LangChain is hiring a Frontend Engineer, AI Observability & Evals Platform for a remote role open to applicants in United States. It pays $160k-$195k a year and Level rates it ; you can apply on LangChain.
Level's read on this job
- Level rates this software engineer role Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting lists this role as remote.
- Tools and skills the posting cites include LangGraph, Clay and React.
- Level classifies it as a mid-level role.
- Level lists 103 other open roles at LangChain.
AI in this role
Develop user-facing features and UI components for an LLM observability and evaluation enterprise platform.
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 to add a frontend engineer to develop and enhance new features on LangSmith, working on our enterprise platform product for LLM application observability, testing, and debugging.
*This role can be based in our San Francisco, New York, or Boston office. Employees within commuting distance work from the office five days per week. Candidates who live outside commuting distance (e.g. >1hr each way), may be eligible for hybrid arrangements depending on location and role requirements.
What You Will Do:
Develop new user-facing features using React & Typescript
Build reusable components and front-end libraries for future use
Translate designs and wireframes into high-quality code
Optimize components for maximum performance across a vast array of web-capable devices and browsers
Collaborate with fullstack and backend developers and UX/UI designers, to enhance usability
What You Will Bring:
2+ years of Front-end engineering experience with strong proficiency in React, JavaScript and TypeScript
Hands-on experience with front-end development tools like Babel, Vite, Webpack, NPM, and Yarn
Familiarity with REST APIs and experience working closely with fullstack and backend engineers
Knowledge of modern authorization mechanisms, such as JWTs
A passion for user experience, design and building clean, engaging, and intuitive interfaces
Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders
The DNA to thrive in a start-up, fast-paced environment. Views unstructured environments as an opportunity to figure out the most impactful work and help define the future success of the company
An ownership mind-set. You are self-driven and look for opportunities to make an impact.
Strong computer science fundamentals, ideally with a degree in computer science or related field
Compensation
Annual salary range: $160,000-$195,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BenefitsBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
How we rate this
Frontend Engineer, AI Observability & Evals Platform at LangChain rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- This job starts at
- $160k
- Typical software engineer job
- $168k
This posting starts 5% below the typical software engineer job. See software engineer jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where frontend development was part of your work. What did you do?
- Tell me about a project where ui components was part of your work. What did you do?
- Tell me about a project where rest apis was part of your work. What did you do?
- Walk me through how you've used LangGraph in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: AI agents, Frontend Development, UI Components, REST APIs, and LangGraph. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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