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IT Engineer

LangChain

IT Engineer

LangChain

San Francisco, CA

·

On-site

·

Full-time

·

1mo ago

Compensation

$150,000 - $185,000

Benefits & Perks

Comprehensive health, dental, and vision insurance

Competitive salary and equity package

401(k) matching

Generous paid time off and holidays

Flexible work arrangements

Parental leave

Healthcare

Equity

Flexible Hours

Parental Leave

Required Skills

Python

React

JavaScript

About Us:

At Lang Chain, 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.

Today, Lang Chain, Lang Graph, Lang Smith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust Lang Chain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.

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. Lang Chain is a place where your contributions can shape how this technology shows up in the real world.

About the role:

We are seeking an early member of our IT team to join us in San Francisco and help establish the foundation of IT at Lang Chain. You'll have the opportunity to shape our IT strategy and practices from the ground up. The ideal candidate brings startup experience, thrives in ambiguity, loves a good problem, and is excited to build scalable systems that support our global team.

What You'll Do:

Infrastructure & Automation

  • Build and maintain our IT infrastructure and tech stack that scales with Lang Chain’s rapid growth

  • Drive automation initiatives to reduce toil and improve efficiency using scripts, APIs, and workflow tools

  • Implement monitoring and documentation practices that enable operational excellence

Security & Identity Management

  • Own our identity strategy, implementing secure, scalable access controls following the principle of least privilege

  • Administer Mac fleet using Kandji MDM with focus on security, compliance, and user experience

  • Identify and implement security enhancements across our SaaS stack

  • Partner with our Security team to drive improvement of our enterprise security posture

Core IT Operations

  • Provide support to employees globally across hardware, software, networking, and IT tools

  • Administer and optimize our SaaS stack, managing provisioning, access controls, and lifecycle management

  • Deliver great onboarding experiences for new hires, ensuring they have the right hardware, access, and setup so they can be productive from day one

How to be successful in this role

  • 4+ years of experience in IT engineering and systems administration

  • Deep proficiency with Okta and Okta Workflows

  • Fluency in at least one general-purpose programming language (Python, JavaScript, or similar) with demonstrated ability to write production-quality scripts and automation

  • Versed in the us of REST APIs, webhooks, and API authentication methods; you should be comfortable reading API documentation and building integrations between systems

  • Demonstrated ability to build meaningful automations that reduce manual work and improve IT operations

  • Experience with IaC using Terraform to manage and provision IT infrastructure and applications

  • Strong experience with a modern tech stack that includes Google Workspace, Slack, Notion, Claude, ChatGPT

  • Solid understanding of MDM platforms

  • Strong networking fundamentals (TCP/IP, DNS, VPNs, firewalls, switching, wireless, LAN/WAN)

How You Work

  • Optimize for simplicity - you reduce friction with intuitive, low-complexity solutions instead of over-engineered systems

  • Move with speed and purpose - you adapt quickly, make timely decisions, and ship high-quality solutions earlier than comfortable

  • Enablement mindset - you empower employees to work independently by providing clear documentation, self-service tools, and proactive support

  • User-centric problem solver - you dig deep to understand the root issues, not just surface-level symptoms

  • Allergic to busywork and toil - you focus on what matters, automate repetitive tasks, and don't tolerate processes that waste time

  • Resilient and resourceful - you navigate through ambiguity, don't make excuses when things break, and find creative solutions

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: $150,000-$185,000 USD

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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