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Platform Engineer - LangSmith Ingestion

LangChain

Platform Engineer - LangSmith Ingestion

LangChain

San Francisco, CA

·

On-site

·

Full-time

·

1mo ago

Compensation

$175,000 - $225,000

Benefits & Perks

401(k) matching

Generous paid time off and holidays

Comprehensive health, dental, and vision insurance

Parental leave

Flexible work arrangements

Healthcare

Parental Leave

Flexible Hours

Required Skills

Python

JavaScript

TypeScript

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:

Join our platform engineering team as we scale Lang Smith Platform products. You'll architect and operate the critical systems that power our customers' AI observability, working directly with cutting-edge technologies at the intersection of AI and distributed systems.

  • Build and Scale critical systems: Design and implement high throughput data-intensive ingestion systems supporting our flagship SaaS products (Lang Smith and Lang Graph Platform)
  • Drive reliability: Build monitoring, alerting, and automated recovery systems that maintain high uptime
  • SDK : Design and build developer-friendly SDKs for the Lang Smith platform in Python, TypeScript, Go and Java.
  • Solve complex problems: Debug performance bottlenecks, optimize database queries, and architect solutions for distributed system challenges
  • Shape platform strategy: Influence technical decisions around infrastructure, tooling, and operational practices as we grow from startup to enterprise scale
  • Respond to incidents: Participate in on-call rotation with focus on post-incident learning, automation and prevention

How to be successful in this role

  • Experience: 5+ years building and operating production systems at scale
  • Programming proficiency: Strong hands-on software engineering skills (Python, Go, Rust)
  • Database expertise: Production experience with OSS datastores (PostgreSQL, Redis)
  • Infrastructure expertise: Deep knowledge of Cloud Object Storage, Kubernetes, containerized infrastructure, cloud platforms (e.g. GCP)
  • Observability mastery: Hands-on experience with observability stacks (Datadog, Prometheus/Grafana, Open Telemetry or similar)
  • Operational mindset: "You build it, you run it, you own it" philosophy with the focus on sustainable practices

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 for Senior Engineers

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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