AI Engineer

hace 5 días

Barcelona, Barcelona, España Mindsight Ventures A tiempo completo

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

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

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