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Data Infrastructure & AI Engineer
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Data Infrastructure and AI Engineer
We are seeking a Data Infrastructure and AI Engineer to help advance systems at the crossroads of database engineering, artificial intelligence, and high-performance computing.
In this role, you will work on challenging research and development problems spanning database internals, distributed data platforms, efficient large-language-model execution, and memory architectures for intelligent agents. You will turn concepts into working systems, assess them rigorously, and refine them into reliable, high-performing solutions.
What you’ll work on
- Design and implement advanced data and AI infrastructure.
- Investigate database components such as query processing, optimisation, storage engines, indexing, transactions, concurrency control, recovery, and distributed data management.
- Explore efficient AI techniques including LLM quantisation, on-device inference, fine-tuning, knowledge distillation, gradient-free learning, and memory for agentic AI.
- Analyse workloads and conduct benchmarking, profiling, and carefully designed experiments.
- Diagnose performance issues and interpret results to guide system improvements.
- Collaborate on technically complex research and engineering projects, communicating findings clearly to colleagues and stakeholders.
- Build and improve infrastructure for data-intensive and AI-driven applications.
- Develop expertise across query execution, optimisation, storage, indexing, transactions, concurrency, recovery, and distributed data systems.
- Research practical approaches to efficient AI, including model quantisation, edge inference, fine-tuning, distillation, optimisation without gradients, and agent memory.
- Study real-world workloads using benchmarks, profilers, and controlled experiments.
- Identify bottlenecks, investigate system behaviour, and use evidence to shape design decisions.
- Contribute to demanding research and engineering initiatives while presenting technical conclusions clearly to both specialist and non-specialist audiences.
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What you’ll bring
- A Master’s or PhD in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related discipline.
- A strong foundation in areas such as computer systems, databases, AI systems, distributed systems, or operating systems.
- Sound knowledge of core database-system principles.
- Sound knowledge of modern AI-system principles.
- Practical experience in system design, implementation, evaluation, and performance debugging.
- Proficiency in at least one systems programming language, such as C, C++, Rust, or Go.
- Proficiency with at least one deep-learning programming interface or environment, such as Python or TensorFlow.
- Experience conducting empirical systems research through workload analysis, benchmarking, profiling, experiment design, and performance interpretation.
- Strong analytical and problem-solving abilities.
- The confidence to approach ambiguous, open-ended technical problems.
- Clear technical communication skills and a collaborative working style.
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Additional experience that would be valuable
- Contributions to databases, data-processing engines, storage platforms, distributed systems, compilers, operating systems, or comparable infrastructure projects.
- Knowledge of distributed, HTAP, cloud-native, vector, graph, lakehouse, or AI-native database architectures.
- Familiarity with the internals of platforms such as PostgreSQL, MySQL, DuckDB, Spark, Flink, Velox, ClickHouse, RocksDB, TiDB, CockroachDB, or similar technologies.
- An understanding of hardware-aware design across multi-core CPUs, NUMA, RDMA, CXL, NVM, SSDs, GPUs, NPUs, or heterogeneous computing environments.
- Experience with vector search, embedding management, retrieval-augmented generation, knowledge graphs, semantic data management, or memory systems for AI agents.
- Publications at leading database, systems, or AI infrastructure venues; these are welcomed but not essential.
If you are an inquisitive systems engineer or researcher excited by the convergence of advanced data infrastructure and AI, apply now or email nk@eu-recruit.com
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