AI Engineer

hace 1 semana


Barcelona, Barcelona, España Mindsight Ventures A tiempo completo 60.000 € - 70.000 € al año

Barcelona, Spain

Salary

€ €50000 /year

Job Type

Full-time

Date Posted

October 17th, 2025

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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 , 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

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