Database Infrastructure & AI Engineer

A globally recognised technology organisation to recruit an experienced

Data Infrastructure & AI Engineer to join a world‑class research and engineering team focused on the next generation of intelligent data platforms and AI systems.

This position offers the opportunity to work on cutting‑edge technologies at the intersection of large‑scale data infrastructure, database systems, distributed computing, and AI.

You will help design and build high‑performance systems that support advanced AI workloads while contributing to innovative research and product development.

Key Responsibilities

• Design, develop, and optimise high‑performance data infrastructure and AI system components.
• Research and implement scalable solutions across database engines, distributed systems, and AI infrastructure.
• Improve system performance through benchmarking, profiling, workload analysis, and optimisation.
• Develop robust software using modern systems programming languages and machine learning frameworks.
• Contribute to the architecture of next‑generation data platforms supporting AI applications.
• Work closely with multidisciplinary research and engineering teams to solve complex technical challenges.
• Evaluate emerging technologies and translate research into practical engineering solutions.

Experience

• Master's or Ph D in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a closely related field.
• Strong understanding of distributed systems, operating systems, database technologies, AI systems, or systems engineering.
• In‑depth knowledge of database architecture, including areas such as query optimisation, indexing, storage engines, transaction management, concurrency, recovery, and distributed data processing.
• Experience with modern AI techniques, including LLM optimisation, efficient model deployment, fine‑tuning strategies, knowledge distillation, and AI memory architectures.
• Proven experience designing, building, testing, and optimising complex software systems.
• Strong programming skills in one or more systems languages such as C, C++, Rust, or Go.
• Experience using AI and machine learning frameworks, including Python and Tensor Flow.
• Ability to design experiments, analyse performance, benchmark systems, and interpret technical results.
• Excellent analytical thinking, communication skills, and the ability to collaborate within research‑led engineering teams.
• Database engines, storage platforms, distributed computing frameworks, operating systems, compiler technologies, or low‑level infrastructure.
• Modern data platform architectures including cloud‑native databases, distributed databases, HTAP platforms, vector databases, graph databases, or lakehouse technologies.
• Working with database internals or contributing to open‑source database and data processing projects.
• Performance optimisation across modern hardware platforms including multi‑core architectures, GPUs, NPUs, RDMA, NUMA, CXL, or high‑performance storage.
• AI‑focused data infrastructure such as vector search, retrieval‑augmented generation (RAG), embeddings, semantic data management, knowledge graphs, or agent memory systems.
• Research publications within database systems, distributed systems, AI infrastructure, or related technical fields.
• What's on Offer

This is an opportunity to work within an internationally respected research environment where innovation, technical excellence, and long‑term technology development are at the heart of the organisation.

You'll collaborate with leading engineers and researchers while contributing to technologies that shape the future of AI and data infrastructure.

If you're passionate about building high‑performance systems and advancing AI infrastructure, we'd love to hear from you. Apply today or send your CV to for more information.

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