AI Enablement Engineer - Live Workshops & Training

LangChain; New York (NY); Hybrid; USD 150,000 - 195,000; Full time

Benefits offered by this job

Equity

In-office days in the US

Health benefits

Job summary

LangChain seeks an Enablement Lead to set the technical foundation for teaching customers to build reliable agents using LangChain, LangGraph, Deep Agents, and LangSmith. You’ll run instructor-led workshops and create scalable content to empower teams across customers and partners.

You’ll collaborate with GTM to ensure customers gain the skills and confidence to build independently, while advocating for user needs and driving adoption of best practices.

Qualifications

• 3+ years building LLM/agent applications, with experience designing agent architectures and evaluation strategies
• Strong Python, comfortable writing and debugging code live, in front of a customer
• 2+ years in a technical, customer-facing role (Enablement, Customer Success Engineering, Solutions Engineering, or similar)
• A genuine excitement for teaching, the kind where you’d rather leave a customer more capable than impressed
• 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, with the ability to explain complex technical concepts to diverse audiences, from individual developers to enterprise stakeholders
• Comfortable operating independently in ambiguity and managing several customer engagements at once
• Curiosity to stay at the forefront of agent engineering in industry to identify evolving trends and quickly incorporate learnings into customer enablement materials
• Willing to travel up to 20% of the time
• You’ve deployed AI agents in production, especially using LangChain, LangGraph, Deep Agents, or similar frameworks
• Hands-on experience with LLM evaluation, observability, or guardrails
• Experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
• TypeScript/JavaScript in addition to Python

Responsibilities

• Design and deliver live, hands-on workshops that build real product fluency, not just familiarity
• Create enablement assets (tutorials, reference implementations, best-practice guides) that scale beyond individual sessions
• Offer technical guidance or office hours as questions come up
• Build internal agents and tools that streamline how the Enablement team operates, automating processes so the team scales efficiently
• Act as the voice of the customer inside LangChain, feeding friction points back to Product and Engineering
• Stay current on agent engineering practices and fold what you learn into what you teach

Job description

LangChain seeks an Enablement Lead to set the technical foundation for teaching customers to build reliable agents using LangChain, LangGraph, Deep Agents, and LangSmith. You’ll run instructor-led workshops and create scalable content to empower teams across customers and partners.

You’ll collaborate with GTM to ensure customers gain the skills and confidence to build independently, while advocating for user needs and driving adoption of best practices.