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Senior AI Developer Relations Advocate – Agentic Applications
Intel Corporation. Own agentic and retrieval augmented generation example applications for Intel's AI software stack on data center platforms .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining agentic applications using frameworks like LangChain and MCP, with a strong focus on retrieval augmented generation and open inference libraries such as vLLM and SGLang. Proven ability to lead workshops and translate developer feedback into actionable improvements in example applications and documentation.
Highest-signal resume keywords
Agentic Application DevelopmentLangChain FamiliarityOpen Inference Libraries ExperiencePython EngineeringDeveloper Relations Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Agent FrameworksRetrieval Augmented GenerationOpen Inference LibrariesExample Application PublishingCI TestingEmbedding and Serving ComponentsDocumentation ImprovementFeedback Translation
Soft Skills
Excellent CommunicationWorkshop Leadership
Tools & Technologies
VLLMSGLangIntel Inference MicroservicesMCP
Certifications & Qualifications
Bachelor's Degree in Computer ScienceComputer Engineering
Industry Keywords
AI Software StackData Center PlatformsDeveloper AdvocacyOpen Source Contributions
Tech Stack
Tools & technologiesMicroservicesOpen SourcePython
About the role
Key responsibilities & impact- Own agentic and retrieval augmented generation example applications for Intel's AI software stack on data center platforms
- Build and ship production quality demos, blueprints, and workshop repositories that developers can clone, run, and copy into their projects
- Build on and maintain examples using vLLM, SGLang, Intel Inference Microservices, LangChain, and MCP
- Test every example in CI from a clean machine to ensure first-attempt execution and reproducibility
- Lead flagship workshops, hackathons, and livecoding sessions at developer events and customer sites
- Contribute upstream to open libraries and agent frameworks
- Convert developer feedback from workshops, issues, and customer engagements into fixes in examples, documentation, and products
- Partner with engineering, product, and developer advocacy teams so new capabilities ship with working example applications
Requirements
What you’ll need- Bachelor's degree with 4 years of experience 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 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 that other developers run
- Prior experience in Developer Relations, Developer Advocacy, or a similar role, including leading workshops or livecoding sessions for developer audiences
- Visible open source contributions preferred
- Excellent written and verbal communication with technical audiences
- Ability to translate developer feedback into example applications, documentation, and product improvements
- Strong hands on Python engineering with the AI software stack, especially CPU based and heterogeneous AI inference
Benefits
Comp & perks- Competitive pay
- Stock bonuses
- Health benefits
- Retirement benefits
- Vacation benefits
- Hybrid work model splitting time between on-site and off-site