Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Enablement Engineer (AI): Onboarding and educating enterprise customers on building production-ready AI agents with an accent on agent architecture and evaluation strategies. Focus on designing live workshops, running advisory sprints, and building internal automation tools to scale the enablement team.
Location: On-site in Amsterdam
Company
LangChain is a platform for building, evaluating, deploying, and operating intelligent AI agents at scale, providing foundations for agent engineering in the real world.
What you will do
- Lead onboarding and education for new enterprise customers to ensure fast and effective platform adoption.
- Design and deliver hands-on workshops to build deep product fluency among engineering teams.
- Conduct time-boxed advisory sprints to solve complex architecture and evaluation challenges for customers.
- Develop internal agents and tools to automate enablement processes and scale team efficiency.
- Create scalable enablement assets, including tutorials and best-practice implementation guides.
- Provide customer feedback to Product and Engineering teams to reduce onboarding friction.
Requirements
- 3+ years of experience building LLM/agent applications, including design of agent architectures and evaluation strategies.
- Strong proficiency in Python, with the ability to debug code live in front of customers.
- 2+ years in a technical, customer-facing role such as Enablement, Customer Success Engineering, or Solutions Engineering.
- Experience designing and delivering live technical workshops.
- Must be based in Amsterdam for on-site work.
- Willingness to travel up to 20% for customer engagements.
Nice to have
- Experience deploying AI agents in production using LangChain or LangGraph.
- Hands-on experience with LangSmith for evals, tracing, and observability.
- Knowledge of cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts.
- Proficiency in TypeScript/JavaScript in addition to Python.
Culture & Benefits
- Competitive compensation including base salary and meaningful equity.
- Comprehensive medical, dental, and vision coverage.
- Flexible vacation policy.
- 401(k) plan.
- Provided meals on in-office days.
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