AI Engineer, Enablement
About The Position
The Enablement team at LangChain helps customers build real fluency with agent engineering and the LangSmith platform through live training, hands-on workshops, and technical content that scales beyond 1:1 time. In this role, you will set the technical foundation for how customers learn to build reliable agents with the LangChain ecosystem, teaching their teams to work effectively with LangChain, LangGraph, Deep Agents, and LangSmith through instructor-led workshops, written content, and reference implementations. You will work closely with the broader GTM org to ensure every customer has the skills and confidence to build independently. You are someone who has built real agent systems, can defend the tradeoffs in them, and genuinely loves teaching, whether that's a live workshop for 50 engineers or a debugging session with one stuck developer. You will also build the internal agents and tools that make the Enablement team itself more efficient.
Requirements
- 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), including experience designing and delivering live workshops
- 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
Nice To Haves
- 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
Benefits
- medical, dental, and vision coverage
- flexible vacation
- a 401(k) plan
- meals on in-office days in the US
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
