AI Full-Stack Engineer & Developer Advocate

Intel Corporation; Hillsboro (OR); On-site; USD 171,000 - 276,000; Full time

Benefits offered by this job

Stock bonuses

Health benefits

Vacation

Job summary

Intel Corporation in Oregon seeks an AI Developer Evangelist to accelerate adoption of Intel platforms by engaging AI developers across web, cloud, edge, and local deployments.

You will build hands-on demonstrations, create technical content, and advocate for developers inside Intel while expanding the AI ecosystem.

The role requires strong full-stack engineering, public speaking, and collaboration skills to deliver practical, scalable AI applications.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field with 4+ years of industry experience.
• Hands-on AI/ML experience across full-stack applications and deployment workflows.
• Proficiency in Python and JavaScript with modern web frameworks; API design and microservices.

Responsibilities

• Developer Engagement: build trusted relationships with AI developers and cloud/edge engineers.
• Technical Evangelism: represent Intel at events with credible presentations and demos.
• Technical Content Development: create tutorials, blogs, samples, and guides.
• Developer Advocacy: voice of developers, feedback to product and docs.
• SDK Development: enhance Intel AI PC SDK with the team.
• Thought Leadership: engage communities to showcase Intel AI platforms.

Skills

Python

JavaScript

HTML5

CSS

Node.js

React

Angular

API design

Microservices

PyTorch

scikit-learn

ONNX

OpenVINO

Education

Bachelor's degree in CS/Engineering

Masters degree in CS/EE

Tools

OpenVINO

VTune

oneMKL

AI PC SDK

Job description

Intel Corporation in Oregon seeks an AI Developer Evangelist to accelerate adoption of Intel platforms by engaging AI developers across web, cloud, edge, and local deployments.

You will build hands-on demonstrations, create technical content, and advocate for developers inside Intel while expanding the AI ecosystem.

The role requires strong full-stack engineering, public speaking, and collaboration skills to deliver practical, scalable AI applications.