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LangChain

Builds open-source tools for making AI agents

Technical Support Engineer

Customer SupportUpdated on Nov 14
Full-timeLondon, UKIn-person

About the Job

Requirements

  • At least 4 years of experience in technical support, solutions engineering, or site reliability engineering roles in deeply technical business-to-business environments such as observability, infrastructure, or data platforms.
  • Expert troubleshooting skills across application programming interfaces, software development kits, distributed systems, and cloud-native stacks.
  • Programming experience with Python.
  • Hands-on knowledge of Kubernetes and Docker.
  • Comfort working with logs, traces, and metrics in Datadog, and with third-party integrations such as OpenTelemetry and large language model providers.
  • Experience supporting enterprise customers and collaborating with engineering teams on complex escalations.
  • Ability to write succinct, helpful, and accurate responses and build resources that deflect support cases.
  • High ownership and a results-oriented approach to customer and company needs.

Responsibilities

  • Serve as the go-to escalation point for technical support inquiries, diagnosing issues across customer setup, LangChain products, and deployments.
  • Work directly with engineering, operations, documentation, and product teams to resolve bugs, suggest patches, and advocate for customer needs.
  • Partner with Deployed Engineering to support critical enterprise customers.
  • Build and refine internal tooling, diagnostics, and runbooks for complex issue triage.
  • Lead post-mortems for critical incidents and feed learnings back into product and documentation.
  • Help refine support-health key performance indicators, including mean time to resolution, customer satisfaction, and bug recurrence, and drive continuous improvement.
  • Improve documentation and knowledge articles to expand one-to-many resources and provide proactive support.
  • Mentor and coach other support engineers.

Desired Qualifications

  • TypeScript experience.

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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