Customer Engineer (london)

LangChain LangChain · Data AI · London, United Kingdom · Customer Engineering

LangChain is seeking a Customer Engineer for their Enterprise Enablement team in London. This role involves leading onboarding, delivering training, developing enablement frameworks, and acting as a liaison between customers and product/engineering teams. The ideal candidate has 5+ years in a technical customer-facing role, with 2+ years focused on AI/ML applications or agents, strong Python proficiency, and experience with the modern AI/LLM stack. The role emphasizes customer success and shaping best practices in agent engineering.

What you'd actually do

  1. Lead onboarding engagements for new enterprise customers, guiding them through initial setup and unblocking issues as they begin building on the LangSmith platform
  2. Create and deliver live, interactive training workshops to help customer teams build foundational product knowledge and agent engineering best practices
  3. Develop scalable enablement frameworks including technical tutorials, best-practice guides, and reference implementations
  4. Act as the voice of the new user, synthesizing feedback and identifying friction points to inform the product roadmap in collaboration with Product and Engineering teams
  5. Partner with Sales, Deployed Engineering, and Professional Services to define enablement strategies for prospective customers, demonstrating the value and ease of getting started with LangChain

Skills

Required

  • 5+ years of experience in a technical, customer-facing role such as Enablement, Customer Success Engineer, Developer Advocate, or similar
  • 2+ years focused on AI/ML applications or agents
  • strong proficiency in Python
  • deep, practical understanding of the modern AI/LLM stack
  • Passion for educating users on technical topics
  • deep empathy for the developer experience
  • Demonstrated ability to create and deliver high-quality technical training programs, including live workshops, written tutorials, documentation, and video guides
  • Exceptional presentation and communication skills
  • Capacity to operate independently in a fast-paced, ambiguous environment
  • manage multiple projects simultaneously

Nice to have

  • Hands-on experience building and deploying applications using LangChain, LangGraph, and LangSmith (or similar frameworks)
  • Proficiency with TypeScript/JavaScript in addition to Python

What the JD emphasized

  • agent engineering
  • LangSmith platform
  • AI/ML applications or agents
  • modern AI/LLM stack

Other signals

  • customer enablement
  • agent engineering
  • LangSmith platform
  • enterprise success