Huawei Ireland Research Centre
2026 - Senior LLM Agent Researcher/Engineer - Permanent

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Location: Dublin, Ireland
About Huawei
Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains – telecom networks, IT, smart devices, and cloud services – we are committed to bringing digital to every person, home and organization for a fully connected, intelligent world.
At Huawei, innovation focuses on customer needs. We invest heavily in basic research, concentrating on technological breakthroughs that drive the world forward. We have more than 180,000 employees, and we operate in more than 170 countries and regions.
About the IRC
Huawei Ireland Research Centre's (IRC) mission is to position Huawei as a recognized technology leader and global information and communications technology (ICT) solutions provider. We are building an industry-recognized multi-disciplinary Research Centre of experts focusing on medium-term to long-term issues to achieve this. The IRC will work closely with an open, innovative ecosystem with Huawei customers to address real-world issues. The IRC will also engage with key European universities to build a basic research capability to support Huawei technical projects.
About the role
The cloud provides flexible and low-cost IT resources across the Internet. As more cloud providers seek to drive greater business outcomes and the environments of the cloud become more complicated, it is evident that the era of intelligent cloud has arrived. Recent advancements in Machine Learning and AI such as Large Language Model, Deep Learning holds the promise for solving some of the most complex challenges in cloud management that were not possible before. To name a few, proactive anomaly detection, dynamic and intelligent resource allocation, intelligent fault diagnosis and network demand prediction are among the challenging problems in this space.
Huawei Ireland Research Centre is expanding an LLM research team that will focus on research and developing AI algorithms for cutting-edge advancements in LLM and Agents, with a focus on domain-specific foundation models, multi agent and web agent systems tailored to Huawei Consumer Cloud services. Key application areas include smart health, data, infrastructure and advertising operations, etc.
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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
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Graduate Consultant — 2026 Scheme
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The Ireland-based research team will work closely with the Huawei Consumer Business Group (CBG) in the Headquarters, CBG covers smartphones, PC and tablets, wearables, mobile broadband device, family device and device cloud service, and is the second largest smartphone manufacturer in the world. Huawei Consumer BG is dedicated to delivering the latest technologies to consumers and sharing the happiness of technological advances with more people around the world. Walk the walk and make dreams come true.
Key Responsibilities
- Solution Design & Delivery: Architect, develop, and maintain production-grade LLM-powered applications, ensuring high scalability and low latency in complex business scenarios.
- End-to-End Ownership: Take full ownership of the entire development lifecycle—from requirements analysis and technical design to deployment and post-launch monitoring, delivering features independently.
- Cross-Functional Collaboration: Partner closely with Product Managers, Frontend Engineers, Backend Engineers, SREs, and business stakeholders to translate business requirements into robust technical solutions and seamless product experiences.
- Code Excellence: Champion clean, modular, and thoroughly documented code, enforcing best practices (code reviews, testing automation, and continuous integration).
- Production Resilience: Proactively troubleshoot production incidents, optimize error-handling mechanisms, and implement effective observability to guarantee high availability.
- Continuous Learning: Stay at the forefront of AI/ML advancements, evaluate emerging tools and frameworks, and drive knowledge sharing to elevate the entire engineering team.
Position Requirements
Skills & Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a closely related discipline.
- Engineering Excellence: 5+ years of hands-on experience in backend or algorithm development, with expert-level proficiency in Python and a strong track record of writing production-grade, scalable code.
- LLM & Agentic Systems: Proven experience building and deploying LLM-powered applications or autonomous agents—such as RAG pipelines, conversational AI, or intelligent assistants—with a deep understanding of their underlying architectures and limitations.
- End-to-End Ownership: Demonstrated ability to drive projects from initial research and prototyping through to production deployment, independently managing technical complexity and delivery timelines.
- Analytical Mindset: Strong problem-solving skills with a knack for structuring and resolving ambiguous, high-impact challenges in dynamic environments.
- Collaboration & Mentorship: Excellent communicator and team player, with a track record of mentoring junior engineers, fostering knowledge sharing, and contributing to a positive, high-performance culture.


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Preferred Qualifications
- Earned a graduate degree (Master’s or Ph.D.) from a globally recognized university with a strong emphasis on AI/CS research.
- A proven publication record in top-tier AI conferences.
- Active involvement in or meaningful contributions to high-impact open-source AI projects, with publicly accessible portfolios.
- Nice-to-have: Hands-on experience with Java in production-grade system development, particularly for model serving or large-scale data pipelines.
Notice: Applicants must be eligible to work in Europe, HUAWEI CANNOT currently sponsor any work permit applications.
DUE TO THE HIGH VOLUME OF REPLIES, ONLY CANDIDATES WHO ARE SHORTLISTED FOR INTERVIEWS WILL BE CONTACTED.
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http://career.huawei.com/reccampportal/portal/hrd/weu_rec_all.html
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