Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$171к-315к/год
$160к$200кмедиана$230к
По похожим ролям (50) ~ $200к/год
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Чётко очерченная senior-роль в крупной технологической компании сочетает практическую работу с быстро развивающимися AI-инструментами, общение с разработчиками и зарплату выше рыночного ориентира.
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Чёткие задачиСовременный стекОплата выше рынкаСфера AIГибридный формат
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior AI Developer Relations Advocate - Agentic Applications (AI/inference serving): Building production-quality agentic and retrieval augmented generation example applications, demos, blueprints, and workshops for Intel data center platforms with an accent on Python engineering, reproducibility, and open-source AI frameworks. Focus on integrating vLLM, SGLang, LangChain, and MCP, testing examples in CI, contributing upstream, and converting developer feedback into product improvements.
Location: Hybrid work model in the United States, with on-site work at an assigned hirify.global site and off-site work. Primary locations include Phoenix, Arizona; additional locations include Santa Clara, California, and Hillsboro, Oregon.
Annual salary: $170,500–$315,490 USD.
Company
hirify.global designs technology for data centers, artificial hirify.globalligence, and the future of computing.
What you will do
Own agentic and retrieval augmented generation example applications for hirify.global’s AI software stack and data center platforms.
Build and maintain production-quality demos, blueprints, and workshop repositories that developers can run and adapt.
Develop with vLLM, SGLang, hirify.global Inference Microservices, LangChain, MCP, and related open-source libraries and frameworks.
Test examples in CI from a clean machine to ensure reproducibility and 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.
End-to-end experience building retrieval augmented generation applications, including retrieval, embedding, and serving components.
Experience publishing reference applications or samples used by other developers, with visible open-source contributions preferred.
Developer Relations, Developer Advocacy, workshop, or livecoding experience, plus strong Python engineering and technical communication skills.
Nice to have
Experience with CPU-based and heterogeneous AI inference.
Ability to translate developer feedback into example applications, documentation, and product improvements.
Culture & Benefits
Hybrid work model combining on-site and off-site work.
Health, retirement, and vacation benefits.
Competitive pay and stock bonuses.
Work with engineering, product, and developer advocacy partners on AI software and platforms.
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