Hiring: AI Engineer, Enablement Company: LangChain Location: Tampa, FL Job Posted Time: 2026-09-17 10:58:30 Target Skills & Keywords : AWS, Azure, Cloudflare, GCP, JavaScript, Kubernetes, LLM, LangChain, Monday.com, Python, TypeScript, Workday About the job Experience: •3+ years building LLM/agent applications, with experience designing agent architectures and evaluation strategies •2+ years in a technical, customer-facing role (Enablement, Customer Success Engineering, Solutions Engineering, or similar), including experience designing and delivering live workshops Required Skills: •You are someone who's 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'll also build the internal agents and tools that make the Enablement team itself more efficient. •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 Qualifications: •Strong Python, comfortable writing and debugging code live, in front of a customer •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 •Applied hands-on capability in LLM evaluation, observability, or guardrails •TypeScript/JavaScript in addition to Python Compensation: •Competitive benefits and rewards package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!