AI-Driven Data Infrastructure Engineer

European Tech Recruit; City of Edinburgh; On-site; GBP 90,000 - 130,000; Full time

Job summary

European Tech Recruit is seeking a Data Infrastructure and AI Engineer to work at the intersection of database systems, distributed infrastructure, machine learning systems, and low-level computing. The role focuses on designing, evaluating, and advancing data infrastructure and AI systems for next-generation workloads.

The ideal candidate has a strong background in database/IR architecture, low-level system design, and experience with AI workloads and RAG systems.

Qualifications

• Master’s or PhD degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or related technical discipline.
• Contributions to database systems, data processing engines, storage systems, distributed systems, compilers, operating systems, or other low-level infrastructure projects.
• Experience with hardware-conscious system design and optimisation.
• Familiarity with multi-core CPUs, NUMA, RDMA, CXL, NVM, SSDs, GPUs, NPUs, or heterogeneous computing architectures.
• Knowledge of vector search and embedding management.
• Experience with Retrieval-Augmented Generation (RAG) systems.
• Knowledge of knowledge graphs and semantic data management.
• Experience developing memory systems or infrastructure for agentic AI.
• Experience optimising systems for AI workloads and large-scale data processing.
• Research publications in leading database, systems, or AI infrastructure conferences and journals.
• Experience translating academic research into production-quality systems or prototypes.

Responsibilities

• Design, implement, and evaluate next-generation data infrastructure and AI systems.
• Research and develop innovative approaches to database systems, distributed data management, and AI infrastructure.
• Investigate database architecture, query processing, query optimisation, storage engines, indexing, transaction processing, concurrency control, recovery, and distributed data management.
• Develop and optimise systems supporting modern AI workloads, including large language models and agentic AI applications.
• Research techniques including LLM quantisation, on-device inference, supervised and unsupervised fine-tuning, parameter-efficient fine-tuning, knowledge distillation, and gradient-free learning.
• Investigate memory architectures and data management techniques for agentic AI systems.
• Develop system prototypes and conduct rigorous empirical evaluations.
• Analyse workloads and identify system-level performance bottlenecks.
• Design and execute benchmarks, experiments, and performance evaluations.
• Profile complex systems and diagnose performance, scalability, and efficiency issues.

Skills

Database systems

Distributed systems

Low-level infra

C/C++/Rust

Python

RAG systems

Knowledge graphs

Vector search

Education

Master’s or PhD in CS/CE/Math

Job description

European Tech Recruit is seeking a Data Infrastructure and AI Engineer to work at the intersection of database systems, distributed infrastructure, machine learning systems, and low-level computing. The role focuses on designing, evaluating, and advancing data infrastructure and AI systems for next-generation workloads.

The ideal candidate has a strong background in database/IR architecture, low-level system design, and experience with AI workloads and RAG systems.