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AI Developer Relations – Docs and Learning Experience
Intel Corporation. Own the developer experience and learning experience for the AI software stack on data center platforms, including inference microservices and the agentic toolkit .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in technical writing and information architecture for developer documentation, with a strong focus on optimizing content for search and AI integration. Proficient in managing docs-as-code workflows and collaborating with cross-functional teams to enhance developer experience.
Highest-signal resume keywords
Technical WritingDocs-As-Code WorkflowsSEO OptimizationPython LiteracyInformation Architecture
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Technical WritingInformation ArchitectureDocs-As-Code WorkflowsSEO OptimizationPython LiteracyGitMarkdownDocumentation CIDocumentation Build PipelinesAI Software Stack Familiarity
Soft Skills
Excellent Written CommunicationExcellent Verbal Communication
Certifications & Qualifications
Bachelor's Degree in Computer ScienceBachelor's Degree in Computer EngineeringBachelor's Degree in Technical Communication
Industry Keywords
Developer ExperienceDocumentation AnalyticsAI AssistantsAgentic ToolkitInference Microservices
Tech Stack
Tools & technologiesMicroservicesPython
About the role
Key responsibilities & impact- Own the developer experience and learning experience for the AI software stack on data center platforms, including inference microservices and the agentic toolkit
- Design and maintain golden paths and curriculum taking developers from a clean environment to a working result
- Build and maintain docs-as-code pipelines and documentation CI, including link checking and cold-start testing of quickstarts
- Write and maintain reference documentation, tutorials, and sample walkthroughs assuming no prior context
- Optimize documentation for search (SEO and GEO) and for AI assistants and coding agents through agent-ready, LLM-digestible content
- Instrument documentation analytics and convert findings into improvements to documentation, samples, and tooling
- Partner with engineering, product, and developer advocates so each new capability ships with tested documentation
Requirements
What you’ll need- Bachelor's degree with 3+ years experience in Computer Science, Computer Engineering, Technical Communication, or a related field, or equivalent practical experience
- Strong technical writing and information architecture skills for developer documentation
- Hands-on experience with docs-as-code workflows and documentation CI, including Git, Markdown or MDX, and documentation build pipelines
- Experience optimizing technical content for search (SEO and GEO) and for AI assistants
- Python literacy sufficient to run and validate AI samples
- Working familiarity with the AI software stack
- Excellent written and verbal communication with technical audiences
- Ability to translate developer feedback into documentation, samples, and product improvements
Benefits
Comp & perks- Competitive pay
- Stock bonuses
- Health benefits
- Retirement benefits
- Vacation benefits
- Hybrid work model allowing employees to split time between on-site and off-site work