AI Engineer, Enablement

LangChain; Cambridge (MA); On-site; USD 150,000 - 195,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Flexible vacation

401(k)

Meals on in-office days (US)

Job summary

LangChain in Cambridge, MA is seeking an AI Engineer, Enablement to help customers build reliable agents using the LangChain ecosystem. This onsite role blends technical depth with customer impact, from live workshops to scalable training assets.

You will design and deliver hands-on workshops, create tutorials and guides, provide technical guidance, and build internal tools to scale Enablement. Travel up to 20% and equity accompany a competitive package.

Qualifications

• 3+ years building LLM/agent applications, including designing agent architectures and evaluation strategies.
• Strong Python with comfort writing and debugging code live in front of customers.
• 2+ years in a technical, customer-facing role such as Enablement, Customer Success Engineering, Solutions Engineering, or similar, including experience delivering live workshops.
• Genuine enthusiasm for teaching, with a focus on leaving customers more capable than when you met them.
• Proven experience building and delivering high-quality technical training programs, including live workshops, written tutorials, documentation, and video guides.
• Exceptional presentation and communication skills to explain complex concepts to diverse audiences, from individual developers to enterprise stakeholders.
• Ability to operate independently in ambiguous situations and manage multiple customer engagements at once.
• Curiosity for continuous learning to identify evolving trends in agent engineering and quickly apply learnings to customer enablement materials.
• Willingness to travel up to 20% of the time

Responsibilities

• Design and deliver live, hands-on workshops
• Create enablement assets such as tutorials, reference implementations, and best-practice guides that scale beyond individual sessions
• Provide technical guidance and office hours as questions come up from customer teams
• Build internal agents and tools to streamline Enablement operations and automate processes so the team can scale efficiently
• Act as the voice of the customer, feeding customer friction points back to Product and Engineering
• Stay current on agent engineering practices and incorporate what you learn into the training you deliver

Skills

LLM/agent architectures

Python programming

Customer-facing

Public speaking

Teaching

Cross-functional collaboration

Travel readiness

Job description

LangChain is looking for an AI Engineer, Enablement to help customers build reliable agents using the LangChain ecosystem. This onsite role in Cambridge, MA blends technical depth with customer impact, from live workshops to scalable training assets. You will also support Enablement efficiency by building internal agents and tools.

Compensation for this position is $150,000 - $195,000 per year plus equity.

What you’ll work on

• Design and deliver live, hands-on workshops that develop real product fluency rather than surface-level familiarity
• Create enablement assets such as tutorials, reference implementations, and best-practice guides that scale beyond individual sessions
• Provide technical guidance and office hours as questions come up from customer teams
• Build internal agents and tools to streamline Enablement operations and automate processes so the team can scale efficiently
• Act as the voice of the customer, feeding customer friction points back to Product and Engineering
• Stay current on agent engineering practices and incorporate what you learn into the training you deliver

What you bring

• 3+ years building LLM/agent applications, including designing agent architectures and evaluation strategies
• Strong Python with comfort writing and debugging code live in front of customers
• 2+ years in a technical, customer-facing role such as Enablement, Customer Success Engineering, Solutions Engineering, or similar, including experience delivering live workshops
• Genuine enthusiasm for teaching, with a focus on leaving customers more capable than when you met them
• Proven experience building and delivering high-quality technical training programs, including live workshops, written tutorials, documentation, and video guides
• Exceptional presentation and communication skills to explain complex concepts to diverse audiences, from individual developers to enterprise stakeholders
• Ability to operate independently in ambiguous situations and manage multiple customer engagements at once
• Curiosity for continuous learning to identify evolving trends in agent engineering and quickly apply learnings to customer enablement materials
• Willingness to travel up to 20% of the time

Helpful experience (nice to have)

• Deployed AI agents in production, especially with 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 experience in addition to Python

Tech you’ll use

• Python
• LLM/agent applications
• LangChain, LangGraph
• Deep Agents
• LangSmith

Benefits and support

• Medical, dental, and vision coverage
• Flexible vacation
• 401(k) plan
• Meals on in-office days in the US

LangChain’s Enablement team helps customers build real fluency in agent engineering and the LangSmith platform through live training, hands‑on workshops, and technical content designed to scale beyond 1:1 time. In this role, you’ll set the technical foundation for how customers learn to build reliable agents with the LangChain ecosystem, teaching teams to work effectively with LangChain, LangGraph, Deep Agents, and LangSmith through instructor‑led workshops, written content, and reference implementations.