# AI Engineer, Enablement

Hiring organization: [LangChain](https://career.thegoodapps.co/organizations/langchain)

Canonical page: https://career.thegoodapps.co/jobs/46fe3c3a-18f0-4e12-997b-6ccfaf7bc575

Listed on LangChain's own careers site. Applications go to them directly.

- Employment type: full time
- Seniority: Mid
- Location: Washington, DC
- Remote: yes
- Salary: 150000 – 195000 USD per year

## Summary

This role teaches LangChain customers how to build reliable AI agents through hands-on workshops, technical content, and reference implementations. It suits experienced AI engineers who enjoy teaching others and want to shape how developers adopt agent-building practices at scale.

_Our summary, not LangChain's wording._

## Skills named

LangChain, LangGraph, Python

## Required

- 3+ years building LLM/agent applications with agent architecture and evaluation experience
- 2+ years in a technical customer-facing role such as Enablement or Solutions Engineering
- Strong Python with ability to write and debug code live in front of customers
- Demonstrated ability to design and deliver high-quality technical training programs including live workshops and written tutorials
- Exceptional presentation and communication skills explaining complex concepts to diverse audiences
- Ability to operate independently in ambiguity and manage multiple customer engagements
- Willingness to travel up to 20% of the time

## Nice to have

- Deployed AI agents in production 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 or JavaScript proficiency in addition to Python

Apply on LangChain's site: https://jobs.ashbyhq.com/langchain/47ad420c-9302-4a4f-a35f-7dd29e1d9d28/application