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LangChain

Builds open-source tools for making AI agents

IT Systems Engineer

System AdministrationUpdated on Nov 12
Full-time$150k - $170k /yr

About the Job

Requirements

  • At least 5 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, such as Python or JavaScript, and demonstrated ability to write production-quality scripts and automation.
  • Experience using REST APIs, webhooks, and API authentication methods, including reading API documentation and building integrations between systems.
  • Demonstrated ability to build meaningful automations that reduce manual work and improve IT operations.
  • Hands-on experience with infrastructure as code using Terraform to manage and provision IT infrastructure and applications, and comfort applying changes within an existing Terraform codebase.
  • Experience using coding agents such as Claude Code as part of day-to-day engineering workflows to build and ship automation faster.
  • Strong experience with a modern technology stack that includes Google Workspace, Slack, Notion, Claude, and ChatGPT.
  • Solid understanding of mobile device management platforms and ideally experience going beyond baseline mobile device management with fleet/configuration management tooling to manage fleet security and application needs.
  • Experience administering a large or complex SaaS stack, ideally including internal or AI/LLM-based products.
  • Strong networking fundamentals, including TCP/IP, DNS, VPNs, firewalls, switching, wireless, LAN, and WAN.

Responsibilities

  • Build and maintain IT infrastructure and technology stack that scales with company growth.
  • Drive automation initiatives using scripts, APIs, and workflow tools to reduce toil and improve efficiency.
  • Implement monitoring and documentation practices that enable operational excellence.
  • Reimagine deployment, configuration, and management of the Mac fleet, using Iru mobile device management as a foundation rather than the entire solution.
  • Design and build a secure, reliable, and maintainable desktop environment to replace one-off scripts with version-controlled, testable, and repeatable systems.
  • Own custom security controls and application deployment across the fleet so updates and configuration changes are consistent and easy to roll out at scale.
  • Build fleet management systems that can accommodate company and fleet growth.
  • Drive identity strategy by implementing secure, scalable access controls following the principle of least privilege.
  • Identify and implement security enhancements across the SaaS stack.
  • Partner with the Security team to improve enterprise security posture.
  • Administer and optimize the SaaS stack, managing provisioning, access controls, and lifecycle management.
  • Serve as IT's central administrator for LangSmith and develop deep fluency in its administration surface.
  • Build automated workflows for LangSmith administration using its API and automation tooling to reduce manual administrative work.
  • Maintain fluency across internal tools used and supported by IT, including the LLM Gateway.
  • Provide employees globally with support for hardware, software, networking, and IT tools.
  • Deliver onboarding for new hires, ensuring they have the appropriate hardware, access, and setup to be productive from day one.

Desired Qualifications

  • Experience going beyond baseline mobile device management with fleet/configuration management tooling to manage a fleet's security and application needs.
  • Experience administering a large or complex SaaS stack that includes internal or AI/LLM-based products.

About the Company

LangChain

Builds open-source tools for making AI agents

LangChain makes free, open-source code libraries and a paid platform that software teams use to build and run AI agents, programs that use large language models to plan and finish tasks on their own. Its first library came out in October 2022, a month before ChatGPT, and in 2023 GitHub listed it among the open-source projects with the most contributors. Developers write agents with its LangChain, LangGraph, and Deep Agents libraries, which connect AI models to company data and software tools. Companies then pay for LangSmith, a platform that records each step an agent takes, scores its answers, and hosts finished agents. LangChain was founded in 2023 and is based in San Francisco.

Company size
201-500
Company stage
Late Stage VC
Total funding
$460M
Headquarters
San Francisco, CA
Founded
2023

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