AI Engineer / Backend Developer

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