Senior AI Developer Relations Advocate (Agentic Applications)

Location: Hybrid role based in Phoenix, Arizona, with additional locations in Santa Clara, California, and Hillsboro, Oregon; work is split between an assigned Intel site and off-site.

Annual salary: $170,500–$315,490 USD

Company

Intel develops technology for data centers, artificial intelligence, and high-performance computing platforms.

What you will do

• Own agentic and retrieval augmented generation example applications for AI software on data center platforms.
• Build production-quality demos, blueprints, and workshop repositories that developers can clone, run, and adapt.
• Develop with vLLM, SGLang, Intel Inference Microservices, LangChain, and MCP while keeping examples current and reproducible.
• Test examples in CI from a clean machine and maintain first-run reliability.
• Lead workshops, hackathons, and livecoding sessions at developer events and customer sites.
• Contribute upstream and turn developer feedback into improvements to examples, documentation, and products.

Requirements

• Bachelor's degree with four years of experience in computer science, computer engineering, or a related field, or equivalent practical experience.
• Experience building agentic applications with agent frameworks and tool-calling protocols such as LangChain and MCP.
• Experience with open inference libraries such as vLLM or SGLang, including serving models behind compatible endpoints.
• Experience building retrieval augmented generation applications end to end, including retrieval, embedding, and serving components.
• Track record of publishing reference applications or samples used by other developers, with open-source contributions preferred.
• Experience in Developer Relations, Developer Advocacy, or a similar role, including workshops or livecoding for developer audiences.

Nice to have

• Strong written and verbal communication with technical audiences.
• Ability to translate developer feedback into applications, documentation, and product improvements.
• Strong Python engineering skills across the AI software stack, especially CPU-based and heterogeneous AI inference.

Culture & Benefits

• Hybrid work model combining on-site and off-site work.
• Competitive compensation with stock bonuses.
• Health, retirement, and vacation benefits.
• Focus on open-source engagement and collaboration with engineering, product, and developer advocacy teams.