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JobsLangChain

Senior Backend Software Engineer, Observability & Evals Platform (LangSmith)

LangChain

Senior Backend Software Engineer, Observability & Evals Platform (LangSmith)

LangChain

San Francisco, CA

·

On-site

·

Full-time

·

1mo ago

Compensation

$175,000 - $225,000

Benefits & Perks

Parental leave

Team events and activities

Generous paid time off and holidays

Comprehensive health, dental, and vision insurance

Parental Leave

Healthcare

Required Skills

TypeScript

JavaScript

React

About Lang Chain:

At Lang Chain, our mission is to make intelligent agents ubiquitous. We provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast.

Our open source frameworks, Lang Chain and Lang Graph, see over 90+ million downloads per month and help developers build agents with speed and granular control. Lang Smith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences.

Lang Chain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and more.

About the role:

In person 5 days/week in San Francisco, Boston, MA, New York.

We are looking for a Senior Backend Engineer to join us. In this role you will be building the backend systems that power Lang Chain’s observability and evals platform. You will work on the core services that allow developers to monitor and evaluate their AI applications at scale. While the focus is on backend feature development, familiarity with fullstack or frontend engineering, performance tuning, and debugging production issues would be extremely valuable.

What you will do:

  • Design, develop, and maintain backend services and APIs to support Lang Smith’s tracing, monitoring, and evaluation workflows.
  • Collaborate on architectural decisions to ensure systems are performant and maintainable.
  • Optimize storage and query performance for high-volume observability and evaluation data.
  • Ensure system reliability through strong testing, monitoring, and alerting practices.
  • Troubleshoot and resolve production issues, performing root-cause analysis and implementing long-term fixes.
  • Create and maintain technical documentation, including system design and API references.
  • Work closely with full-stack engineers, product managers, and product designers on rolling out new features.

How to be successful in this role:

  • 5+ years of professional experience in backend engineering
  • Proficiency in one or more backend languages/frameworks, ideally Python or Go
  • Strong understanding of API design and building reliable data services.
  • Experience with high-throughput or mission-critical systems.
  • Demonstrated ability to optimize backend services for performance and reliability.
  • Experience with database systems (Postgres, Redis, Clickhouse), and cloud platforms (AWS, GCP, Azure)
  • Strong communication skills, with the ability to collaborate cross-functionally
  • Customer centricity and ownership mentality

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

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About LangChain

LangChain

LangChain

Series B

A platform that provides open-source frameworks and tools for engineering and deploying language model agents.

51-200

Employees

San Francisco

Headquarters

$200M

Valuation

Reviews

3.4

3 reviews

Work Life Balance

2.5

Compensation

3.0

Culture

2.8

Career

3.2

Management

2.3

35%

Recommend to a Friend

Pros

Working with cutting-edge AI technologies like LangChain and RAG

Hands-on experience building end-to-end AI projects

Exposure to modern applied AI development

Cons

Uncertainty about long-term career prospects and employability

Projects rarely make it to production use

Lack of senior developer mentorship and guidance

Salary Ranges

9 data points

Mid/L4

Mid/L4 · Product Designer

1 reports

$178,619

total / year

Base

$155,147

Stock

-

Bonus

-

$178,619

$178,619

Interview Experience

10 interviews

Difficulty

2.7

/ 5

Duration

14-28 weeks

Offer Rate

60%

Experience

Positive 50%

Neutral 40%

Negative 10%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Assessment/Take-home

4

Technical Interview

5

Virtual Onsite/Final Round

6

Offer

Common Questions

System Design

Machine Learning/AI Knowledge

Coding/Algorithm

Technical Architecture

Behavioral/STAR