aic#pythonkubernetesazurellmragdistributed systemsprompt engineeringmulti agent systems
Вакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями Для мэтча и отклика нужен Plus
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Роль предполагает серьезную ответственность за промышленные AI-платформы и техническое лидерство в компании, ориентированной на ИИ, но широкий круг задач и требование от 15 лет опыта задают очень высокий уровень.
?Широкий круг задач
Передовой AI-фокус
Техническое лидерство
?Высокий порог опыта
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Текст:
Hirify AI/Оригинал
TL;DR
Member of Technical Staff (AI): Designing, building, and scaling production-grade AI platforms and enterprise systems with an accent on LLMs, RAG architectures, multi-agent workflows, and cloud-native infrastructure. Focus on architecting GPU and model-serving platforms, developing evaluation and orchestration frameworks, and leading complex AI systems from design through production deployment.
Location: United States; hybrid work flexibility.
Company
hirify.global is an AI and technology group building AI platforms, sovereign cloud capabilities, advanced computing infrastructure, and industry-focused AI products.
What you will do
Design, build, and scale production-grade AI platforms using LLMs, RAG architectures, agentic workflows, and enterprise knowledge systems.
Architect high-performance AI services for model hosting, inference optimization, evaluation, orchestration, GPU infrastructure, and token-based AI services.
Design multi-agent systems for reasoning, planning, task delegation, orchestration, and enterprise-scale autonomous workflows.
Deploy resilient AI solutions on Azure and cloud-native platforms using Kubernetes, APIs, vector databases, AI Search, document intelligence, and distributed data services.
Lead cross-functional technical initiatives, mentor engineers, and establish standards for AI development, evaluation, deployment, and platform governance.
Drive experimentation with emerging AI technologies and contribute to technical publications, whitepapers, open-source initiatives, and technical discussions with customers and partners.
Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, or a related technical field.
15+ years of software engineering experience delivering enterprise-scale platforms and solutions.
Deep expertise in LLMs, RAG architectures, multi-agent systems, prompt engineering, model orchestration, and AI evaluation frameworks.
Strong programming expertise in Python and/or C#.
Experience building production AI solutions with modern AI frameworks and toolchains.
Hands-on experience with cloud-native platforms and distributed systems.
Expertise with Azure services including Kubernetes, AI Search, Cosmos DB, API Management, and AI platform services.
Ability to lead complex technical initiatives from architecture through production deployment.
Strong communication skills for influencing senior technical and business stakeholders.
Culture & Benefits
Inclusive workplace focused on innovation, collaboration, ownership, and diverse perspectives.
Hybrid work flexibility and structured professional development through high-impact AI projects.
Competitive compensation with performance incentives and comprehensive health coverage.
Medical support, wellbeing initiatives, and partner discounts.
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