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 — adecuado 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