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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Infrastructure Expert - **Company:** Adecco - **Location:** ZALTBOMMEL, Netherlands - **Salary:** €750.0 - €917.0 - **Contract:** Permanent contract - **Skills:** C (Programming Language), Java (Programming Language), Artificial Intelligence, Computing Platforms, Computer Vision, Big Data, C++ (Programming Language), Computer Programming, Databases, Data Transmissions, Data Infrastructure, Data Retrieval, Data Security, DevOps, Microprocessors, Distributed Data Store, Distributed Systems, Data Intelligence, Python (Programming Language), Meta-Data Management, Natural Language Processing, Open Source Technology, Distributed Caching, Software Engineering, Unstructured Data, AI Infrastructure, Reinforcement Learning, Graphics Processing Unit (GPU), Data Storage Technologies, High Performance Computing, Large Language Models, Caching, Indexer, Information Technology, Data Management - **Published:** September 29, 2026 - **Apply:** https://www.adecco.com/nl-nl/vacature/ai-infrastructure-expert-amsterdam/jn-0031765 ## About the Role Are you excited about building the data infrastructure that powers the next generation of AI Agents and Large Language Models? Do you enjoy solving complex challenges in distributed systems, high-performance computing, and AI-driven data platforms? Then this opportunity could be for you!, * Master's or PhD degree in Computer Science, Artificial Intelligence, Software Engineering, or a related technical field; * Strong programming skills in C, C++, Python and/or Java;Proven experience with distributed systems, database technologies, big data platforms, storage systems, or high-performance computing; * Hands-on experience designing or developing core platform components such as query engines, execution engines, storage engines, or distributed data infrastructure; * Solid understanding of heterogeneous computing environments, including CPU, GPU and AI accelerators, with experience in resource management and optimization; * Experience with cloud platforms, scalable infrastructure, and DevOps practices; * Knowledge of AI technologies, such as Large Language Models (LLMs), multimodal AI, NLP, computer vision, reinforcement learning, or AI-powered data platforms, is highly preferred; Personal skills: * You are analytical, curious and innovative * You enjoy working on complex technical projects and are motivated by creating solutions that make a real difference * You are comfortable working in a fast-paced environment and enjoy collaborating with experts from different technical disciplines ## Description * Design and develop a unified platform for managing and scheduling heterogeneous computing resources, including CPUs, GPUs, and NPUs. You will improve resource allocation, optimize performance, and increase utilization across large-scale computing environments; * Build and enhance next-generation multimodal computing engines that process and analyze large volumes of unstructured data, including text, images, video, and other data types. You will focus on performance, scalability, and efficient execution of complex workloads; * Develop advanced query, retrieval, and processing capabilities for multimodal data environments. This includes supporting vector, text, geospatial, and other data formats while improving search accuracy, speed, and overall system efficiency; * Design and implement scalable vector storage, indexing, metadata management, and access control solutions. You will ensure high-performance data retrieval, efficient storage optimization, and seamless integration with open-source technologies and ecosystems; * Build high-performance distributed caching services that support large-scale AI and data workloads. You will enable fast data access, near-compute caching, and efficient data transfer between different computing engines and platforms; * Apply AI4DB, Large Language Models, and Agent technologies to create intelligent data platforms with autonomous decision-making capabilities. You will develop AI-powered Agents that automate data management, analytics, operations, and system maintenance; * Contribute to the architecture and evolution of next-generation data infrastructure for AI Agents and LLM ecosystems. You will drive innovation across resource scheduling, data storage, retrieval, computation, and intelligent platform management to support future AI applications ## Related Videos - [Shifting Stress to Progress— Understanding DevOps to do DevOps Better](https://www.wearedevelopers.com/videos/268-shifting-stress-to-progress-understanding-devops-to-do-devops-better) - [Dynamic Entities in .NET: Building Low-Code Systems on Top of Entity Framework Core](https://www.wearedevelopers.com/videos/100218-dynamic-entities-in-net-building-low-code-systems-on-top-of-entity-framework-core) - [HTTP headers that make your website go faster](https://www.wearedevelopers.com/videos/1676-http-headers-that-make-your-website-go-faster) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Got AI ideas but no money? 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