AI Full Stack Engineer

Intel’s Client Developer Group is seeking an AI Developer Evangelist to help accelerate adoption of Intel platforms, tools, and technologies with software developers building modern AI-enabled applications. In this role, you will combine hands-on engineering experience, developer advocacy, and technical communication to engage full-stack developers working across web, cloud, client, edge, and local deployment environments. You will represent developer needs within Intel while helping external developer communities successfully build, optimize, and deploy AI experiences on Intel technologies.

Developer Engagement : Build and maintain trusted relationships with AI developers, full-stack software engineers, cloud developers, and technical communities worldwide.  Technical Evangelism : Represent Intel at conferences, meetups, workshops, and industry events by delivering technically credible presentations, demonstrations, and guidance on Intel AI technologies and developer tools.  Technical Content Development : Create high-quality developer content, including blog posts, tutorials, sample applications, videos, documentation, and implementation guides.  Developer Advocacy : Serve as the voice of developers within Intel by sharing feedback, identifying developer experience gaps, and influencing product, tooling, and documentation improvements.  SDK Development : Continue to enhance and improve with the team the Intel AI PC SDK.  Thought Leadership : Engage with developer communities and ecosystem partners to demonstrate how Intel technologies support practical, performant, and scalable AI application development.

Strong engineering background with hands-on experience designing, building, and deploying full-stack software applications.  Demonstrated ability to communicate complex technical concepts clearly to software developers, technical decision makers, and cross-functional stakeholders.  Experience with modern web application development, including front-end frameworks, back-end services, APIs, databases, and application deployment workflows.  Working knowledge of networking fundamentals, server operating systems, cloud services, containerized environments, and locally hosted web applications.  Experience in developer relations, technical advocacy, public speaking, or technical content creation.  Passion for enabling software developers and advancing adoption of emerging AI, cloud, and client technologies.  Strong collaboration, interpersonal, and stakeholder management skills with the ability to build authentic relationships across internal and external communities.  The Impact You will make   The successful candidate will help expand Intel’s AI developer ecosystem by enabling developers to build innovative applications and by ensuring Intel platforms, software, and tools deliver strong developer experiences across cloud, client, edge, and local environments.

Minimum Qualifications   Education and Experience : Bachelors degree in Computer Science, Engineering, or a related technical field with 4+ years of relevant industry experience  Partner and Community Engagement : Proven experience working directly with customers or external technical stakeholders.  Programming Proficiency : Hands-on AI/ML Experience software development experience across the application stack, including one or more of the following:  Python and JavaScript  HTML5, CSS, JavaScript, Node.js, React or Angular  Back-end and platform technologies, including API design, microservices,   Practical experience applying AI/ML capabilities to software applications, including one or more of the following:  PyTorch, scikit-learn, ONNX, OpenVINO,   Preferred Qualifications   Advanced Education