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Описание вакансии
Текст:
TL;DR
Customer Enablement Engineer (AI): Building customer fluency in reliable agent engineering through hands-on workshops, technical content, and reference implementations with an accent on LangChain, LangGraph, Deep Agents, and LangSmith. Focus on teaching production AI agent architectures, designing evaluation strategies, debugging Python live with customers, and building internal tools that scale enablement.
Location: On-site in New York, Atlanta, Boston, Charlotte, Nashville, Philadelphia, Tampa, or Washington, DC, United States
Salary: $150,000–$195,000 annually plus equity
Company
LangChain builds open-source frameworks and a platform for building, evaluating, deploying, and operating intelligent agents at scale.
What you will do
- Design and deliver live, hands-on workshops that help customers build reliable agents with the LangChain ecosystem.
- Create tutorials, reference implementations, best-practice guides, documentation, and other enablement assets.
- Provide technical guidance and office hours for developers and enterprise stakeholders.
- Build internal agents and tools that automate Enablement workflows and improve team scalability.
- Represent customer needs internally and share product friction points with Product and Engineering.
- Track developments in agent engineering and incorporate relevant practices into customer education.
Requirements
- 3+ years of experience building LLM or agent applications, including agent architectures and evaluation strategies.
- Strong Python skills and the ability to write and debug code live with customers.
- 2+ years in a technical, customer-facing role such as Enablement, Customer Success Engineering, or Solutions Engineering.
- Experience designing and delivering live workshops, technical training programs, written tutorials, documentation, and video guides.
- Exceptional presentation and communication skills for audiences ranging from individual developers to enterprise stakeholders.
- Ability to work independently in ambiguous environments, manage multiple customer engagements, and travel up to 20% of the time.
Nice to have
- Production experience with LangChain, LangGraph, Deep Agents, or similar frameworks.
- Hands-on experience with LLM evaluation, observability, or guardrails.
- Experience with AWS, GCP, Azure, containers, and basic Kubernetes concepts.
- TypeScript or JavaScript experience in addition to Python.
Culture & Benefits
- Meaningful impact on products and practices at a fast-growing Series B company.
- Medical, dental, and vision coverage.
- Flexible vacation and a 401(k) plan.
- Meals on in-office days in the United States.
- Base compensation, equity, benefits, and additional perks.
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