About Mindsight VenturesAt Mindsight Ventures, we’re building next-generation AI-powered platforms that connect data, people, and intelligent systems in fields like health, finance, and automation .We partner with startups, enterprises and venture builders to design intelligent systems — from AI agents and data platforms to full-stack products — helping companies move faster from idea to execution.Our team works across multiple domains — product design, software development, AI research, and cloud infrastructure — always guided by the same principles: clarity, efficiency, and real-world impact .We’re based in Barcelona, with a hybrid work model and an international team of engineers, designers, and entrepreneurs.About the roleWe’re looking for a talented AI Engineer to help us design, build, and deploy AI-driven systems and backend infrastructures for our internal platforms and client projects.This role bridges software engineering, cloud DevOps, and machine learning deployment — ideal for someone who enjoys solving complex technical challenges and building scalable systems.Your responsibilities- Develop and maintain backend services (Node.Js, TypeScript, or Python)- Design APIs, data pipelines, and system architectures- Implement and deploy AI/ML models (training, testing, inference, and MLOps)- Work with cloud environments (Azure, AWS, or GCP) for deployment and scaling- Explore modern AI infrastructure patterns (e.G., RAG, vector databases, model serving)- Collaborate with the front-end and AI research teamsRequirements- 2–4 years of experience in backend or AI development- Strong programming skills in TypeScript and/or Python- Experience with cloud infrastructure (Azure preferred) and CI/CD- Knowledge of databases (SQL/NoSQL), APIs, and containers (Docker)- Understanding of ML frameworks and deployment workflows- Strong architectural thinking and curiosity for new technologiesNice to have- Experience training or fine-tuning computer vision models (e.G., CNNs, Vision Transformers, etc.)- Knowledge of vector embeddings and multimodal architectures combining text and image data- Experience with AI inference optimization (GPU deployment, quantization, ONNX, TensorRT, etc.)- Understanding of data versioning and MLOps pipelines for model reproducibility- Interest in AI agents, RAG pipelines, and integrating vision models into production environments