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11 часов назад

Senior Software Engineer (AI & ML Innovation)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Ireland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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