AI Engineer, Enablement (Amsterdam)

LangChain
Amsterdam
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 3+ yearsSkills: ["Teaching","Live debugging","Communication","Independent work","Stakeholder management"]

Own onboarding and education for new enterprise customers so they can build effective AI agents on the platform. Design and run live hands-on workshops, deliver advisory sprints for architecture and evaluation challenges, and create reusable enablement assets (tutorials, reference implementations, best-practice guides). Build internal agents and tools that improve Enablement team efficiency, while staying current on agent engineering practices and feeding customer friction back to Product and Engineering.

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FursaFursa
LangChain
LangChain
3 days ago

AI Engineer, Enablement (Amsterdam)

âś“ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Own onboarding and education for new enterprise customers so they can build effective AI agents on the platform. Design and run live hands-on workshops, deliver advisory sprints for architecture and evaluation challenges, and create reusable enablement assets (tutorials, reference implementations, best-practice guides). Build internal agents and tools that improve Enablement team efficiency, while staying current on agent engineering practices and feeding customer friction back to Product and Engineering.
Location: Amsterdam
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Own onboarding and education for new enterprise customers to help them build effectively on the platform.
  • •Design and run live, hands-on workshops that build real product fluency.
  • •Run focused, time-boxed advisory sprints for customers tackling architecture or evaluation challenges.
  • •Build internal agents and tools to streamline Enablement operations and automate processes.
  • •Create scalable enablement assets (tutorials, reference implementations, best-practice guides) and serve as the voice of the new customer internally.
Travel: Medium travel

Pay and Benefits

Perks:MedicalDentalVision401kPaid LeaveMeal Allowance

Key Requirements

  • •3+ years building LLM/agent applications, including designing agent architectures and evaluation strategies.
  • •Strong Python skills for writing and debugging code live in front of customers.
  • •2+ years in a technical, customer-facing role (Enablement, Customer Success Engineering, Solutions Engineering, or similar) with experience delivering live workshops.
  • •Enjoy teaching—able to explain complex concepts to individual developers and enterprise stakeholders.
  • •Comfort operating independently in ambiguity while managing multiple customer engagements at once.
Experience:3+ yearsLLM/agent applicationsProduction AI agentsCustomer-facingWorkshopsEnterprise customers
Skills:TeachingLive debuggingCommunicationIndependent workStakeholder management
Tech Stack:PythonLLMAgent architecturesEvaluation strategiesLangChainLangGraphDeep AgentsLangSmithLangSmith EngineTypeScriptJavaScriptAWSGCPAzureContainersKubernetesTracingObservability

Company Brief

LangChain
Provides an open-source framework and commercial platform (LangSmith/LangGraph) for building, testing, monitoring, and deploying LLM-powered applications and agentic AI for developers and enterprises.
Industry: Developer Tools
Company Size: Medium (51 to 250 employees)
Revenue: USD 10M to 25M
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series B
Headquarters: San Francisco, United States
Founded: 2022
WebsiteLinkedIn