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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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В HPE чётко описана senior-роль в AI-инженерии с практической работой над LLM-системами, хотя широкий охват исследований, платформенных задач и лидерства может сделать повседневную работу разноплановой.
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Современные AI-технологии
Поддержка развития
Перспективная область
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Software Engineer (AI & ML Innovation) (AI/ML, LLMs, agentic systems): Building and optimizing AI/ML solutions for HPE’s Hybrid Cloud portfolio with an accent on high-throughput, low-latency LLM inference, autonomous agentic workflows, and production-grade model integration. Focus on scaling inference pipelines, designing multi-agent systems, fine-tuning models, and solving complex performance and interoperability challenges.
Location: Galway, Ireland. Hybrid role requiring an average of two days per week from an HPE office.
Company
hirify.global is a global edge-to-cloud company developing solutions that connect, protect, analyze, and manage data and applications from edge to cloud.
What you will do
Lead AI/ML initiatives across the Hybrid Cloud portfolio and translate customer requirements and industry trends into products, solutions, and system improvements.
Research current AI and machine learning technologies, frameworks, and algorithms and design solutions with cross-functional teams.
Optimize high-throughput, low-latency LLM inference pipelines using serving engines such as vLLM or SGLang.
Design autonomous agentic workflows and multi-agent systems with Agent-to-Agent communication, reasoning loops, tool calling, and orchestration frameworks.
Integrate, deploy, monitor, fine-tune, and optimize models within existing software systems and infrastructure.
Set implementation standards with engineering leadership, mentor colleagues, and present technical recommendations to senior stakeholders.
Requirements
Bachelor’s or master’s degree in computer science, engineering, data science, machine learning, artificial intelligence, or a closely related quantitative discipline.
Typically 4–7 years of experience, including production-level software development.
Deep understanding of machine learning algorithms, deep learning models, reinforcement learning, neural network architectures, transfer learning, generative models, and optimization algorithms.
Strong programming skills in Python, Go, or Java, plus software engineering best practices, version control such as GitHub, and software development methodologies.
Hands-on experience with LLM inference scaling and optimization, including high-throughput and low-latency systems.
Experience with cloud infrastructure such as AWS or Azure, open source technologies, and Linux.
Understanding of DevOps and SRE practices.
Strong understanding of GitHub Copilot, Cursor, N8N, vibe coding, Windsurf, and similar technologies.
Strong communication, problem-solving, and critical-thinking skills for collaboration with cross-functional teams and stakeholders.
Active engagement with AI/ML research, emerging technologies, and state-of-the-art techniques.
Nice to have
Experience with TensorFlow, PyTorch, and scikit-learn.
Culture & Benefits
Hybrid work with an average of two office days per week in Galway.
Health and wellbeing benefits supporting physical, financial, and emotional wellbeing.
Personal and professional development programs supporting career growth and knowledge expertise.
Inclusive workplace committed to accessibility and equal opportunity.
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