Jobs
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
Total Views
0
Apply Clicks
0
Mock Applicants
0
Scraps
0
Similar Jobs

Senior iCloud Solutions Engineer, Apple Services Engineering
Apple · San Francisco, CA

VCA AI Agent Engineering Sr. Manager
Visa · San Francisco, CA

Platform Engineer, Forward Deployed Engineering
OpenAI · San Francisco

Senior Software Engineer, Foundation - Financial Platform
Chime · San Francisco, CA

Sr. Manager, North America Strategy
Visa · San Francisco, CA
About LangChain

LangChain
Series BA 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
News & Buzz
LangChain: $125 Million Raised To Advance Agent Engineering Platform - Pulse 2.0
Source: Pulse 2.0
News
·
19w ago
LangChain Raises $125M in Series B, Hits $1.25B Unicorn Valuation - WebProNews
Source: WebProNews
News
·
19w ago
Sequoia backs AI agent tools LangChain at $1.3b valuation - Tech in Asia
Source: Tech in Asia
News
·
19w ago
LangChain becomes unicorn with $1.25B valuation in Series B - The Tech Buzz
Source: The Tech Buzz
News
·
19w ago