Anthony Kelly

Multimodal AI Systems: Chief Scientist/ Principal Technical Leader We are seeking a senior leader to define and deliver the architecture and research direction for large-scale multimodal AI systems. This role combines scientific leadership with hands-on system ownership, spanning model innovation, training, inference, and production deployment. You will lead the design of multimodal architectures across LLMs, VLMs, video models, and multimodal agents, while driving cutting-edge research in multimodal understanding and generation. The role owns the full lifecycle from novel algorithms and publications to scalable, optimized systems (autotuning, quantization, inference efficiency). RequirementsDeep expertise in multimodal learning with hands-on experience training large-scale vision-language, video, or multimodal models.Strong understanding of transformers, diffusion models, and large multimodal model inference.Proven research impact (top-tier conferences preferred) and/or significant open-source contributions.Ability to translate frontier research into production-grade AI systems.

Hiring a DevOps Engineer for one of the most exciting deep-tech companies in Europe right now. This is a fixed-term role (until June 2026) based in Zaragoza or Barcelona, with a hybrid setup and real flexibility. You’d be joining a fast-scaling Series B company working at the intersection of quantum computing and AI. The tech is already live in production — compressing large language models by up to 95 percent and cutting inference costs by 50–80 percent. This isn’t theoretical. It’s being used by global enterprises today. Why this role is special You won’t be maintaining legacy systems. You’ll be building, scaling, and optimizing the infrastructure behind cutting-edge AI products used by Fortune 500 clients. You’ll have real ownership and a seat at the table when DevOps strategy decisions are made. What you’ll do • Optimize and scale high-performance inference and internal APIs • Build and improve CI/CD pipelines and automation • Own AWS infrastructure for secure, highly available systems • Work closely with engineers, product teams, and customers • Help deploy software directly into customer environments What we’re looking for • 2–5 years of DevOps experience • Strong AWS and infrastructure-as-code experience • CI/CD expertise (GitLab, GitHub Actions, Jenkins, etc.) • Docker and Kubernetes in production • Solid scripting or coding skills (Python, Bash, Go) • Someone who can troubleshoot fast and communicate clearly What’s on offer • Competitive salary • Signing bonus retention bonus • Hybrid working and flexible hours • Relocation support if needed • Equal pay guaranteed • International, high-impact environment