Intel
Senior AI Developer Relations Advocate - Agentic Applications
$170K–$315K
US, Arizona, Phoenix +2 · Senior · Full-time · Posted Oct 14, 2026
- Location
- US, Arizona, Phoenix
US, California, Santa Clara
US, Oregon, Hillsboro - Experience
- 4 years of experience with a bachelor's degree, or equivalent practical experience.
- Education
- Bachelor's degree in Computer Science, Computer Engineering, or a related field, or equivalent practical experience.
About the job
Owns and delivers reproducible agentic and retrieval-augmented generation examples for Intel data center platforms, while engaging developers through workshops and upstream contributions.
What you'll do
- Build, maintain, and CI-test production-quality demos, blueprints, and workshop repositories for agentic and retrieval-augmented generation applications.
- Lead workshops, hackathons, and livecoding sessions, and turn developer feedback into improvements to examples, documentation, and products.
- Contribute upstream to the open libraries and agent frameworks used by the examples.
What they ask for
- Bachelor's degree in Computer Science, Computer Engineering, or a related field, or equivalent practical experience.
- Experience building agentic applications with agent frameworks and familiarity with tool-calling protocols such as LangChain and MCP.
- Experience with vLLM or SGLang, serving models behind compatible endpoints, and building end-to-end retrieval-augmented generation applications.
- Developer Relations, Developer Advocacy, or similar experience, including leading developer workshops or livecoding sessions.
Nice to have
- Visible open-source contributions.
- Strong hands-on Python engineering, especially with CPU-based and heterogeneous AI inference.
Pay
$170,500.00-315,490.00 USD (target compensation; base salary or total pay not specified)
Tools
Python, vLLM, SGLang, Intel Inference Microservices, LangChain, MCP
AI focus
Build and maintain agentic and retrieval-augmented generation applications and examples for Intel data center platforms.
Model-written summary · the original posting is authoritative