About Mindsight Ventures
At 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 role
We’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 teams
Requirements
* 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 technologies
Nice 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