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Senior AI Engineer - Data & Infrastructure for Multimodal Models (Remote - UK) at Jobgether. This position is posted by Jobgether on behalf of Tether.io. We are currently looking for a Senior AI Engineer - Data & Infrastructure for Multimodal Models in the United Kingdom.. We are seeking a Senior AI Engineer to design and implement scalable, high-throughput data pipelines for cutting-edge multimodal AI research. In this role, you will work closely with model researchers to develop infrastructure capable of handling massive video, audio, text, and image datasets across thousands of GPUs. You will optimize distributed data workflows, automate dataset acquisition, and build systems for evaluation and annotation, contributing to next-generation video and multimodal AI models. This role is ideal for engineers who thrive in fast-paced, high-impact environments and are passionate about pushing the boundaries of AI infrastructure. Collaboration, innovation, and technical excellence are central to success in this position.. . Accountabilities:. . Build and scale data infrastructure optimized for large-scale video and multimodal content processing across GPU clusters.. . Design preprocessing algorithms for video, audio, text, and image modalities to enable efficient extraction, synchronization, and normalization.. . Develop automated pipelines for large-scale video dataset acquisition, managing diverse formats, annotations, and embedded audio.. . Architect systems for scalable evaluation, including prompt-based scoring, perceptual metrics, caption generation, and retrieval diagnostics.. . Collaborate with research teams to co-design model architectures and training schedules across pretraining and fine-tuning stages.. . Optimize distributed data loading and pipeline throughput for training at scale, ensuring robustness across model variants.. . Manage infrastructure for experiment tracking, model versioning, and deployment workflows integrated with production and research platforms.. . Support backend engineering for seamless integration of data and model workflows from prototyping to inference.. . Requirements:. . Proficient in Python with strong programming skills in backend, infrastructure, and data tooling.. . Minimum 2+ years experience building and maintaining petabyte-scale data pipelines and distributed systems across thousands of GPUs.. . Hands-on expertise in orchestration frameworks such as Kubernetes and SLURM for high-throughput workloads.. . Proven ability to architect and maintain large-scale distributed data processing and delivery systems.. . Experience collaborating with AI researchers and understanding model training requirements.. . Strong problem-solving, analytical, and debugging skills in complex infrastructure environments.. . Familiarity with multimodal datasets (video, image, audio, text) and processing pipelines is highly advantageous.. . Experience in building video foundation infrastructure in collaboration with LLM or video AI teams is a strong plus.. . Company Location: United Kingdom.