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Azure & .NET Full-Stack Engineer
Builds and maintains .NET-based cloud migration tools that convert legacy enterprise systems to modern Azure architectures using C#, ASP.NET, and SQL Server.
Full Stack Developer (.NET, Azure) | Consultant
Build and maintain .NET-based cloud migration tools in Azure, designing secure APIs and integrating legacy systems into modern cloud architectures.
AI Backend Developer
Build and deploy backend services for AI/ML models, integrating LLMs, vector databases, and RAG pipelines using Python, FastAPI, and cloud platforms.
AI Engineer (From 2 Years Of Experience)
Build and maintain LLM servers (Llama, Mistral, GPT API) and deploy AI agents that automate tasks like reminders, reports, and paperwork using vector databases and RAG pipelines.
Senior Machine Learning Engineer
Designs and builds generative AI systems using LLMs, agentic architectures, and RAG pipelines, optimizing models and managing AI lifecycle in production.
AI ENGINEER / DATA SCIENTIST – GENERATIVE AI & MICROSOFT AZURE
Design and build generative-AI solutions on Microsoft Azure using LLMs, RAG, fine-tuning, and prompt engineering, then deploy and monitor them with LLMOps pipelines.
Data Engineer - QuantumBlack, AI by McKinsey
Build scalable data pipelines and infrastructure for AI systems, including LLMs and agentic architectures, using Python, SQL, and cloud platforms like AWS/Azure/GCP.
Data Engineer - QuantumBlack, AI by McKinsey
Build and maintain scalable data pipelines and AI-ready data foundations for cutting-edge AI systems, including LLMs and agentic architectures, while collaborating with cross-functional teams.
Lead AI Engineer — Generative AI & Data Science (Remote)
Lead a team building generative AI and data-science solutions using Python, LLMOps, and cloud services; design multi-agent patterns, reasoning loops, and scalable microservices.
AI Engineer (Generative AI & Data Science Solutions)
Design and build generative AI and data-science solutions using Python, TensorFlow/PyTorch, and LangChain, then deploy them as scalable microservices on AWS/GCP/Azure.
Lead AI Engineer (Generative AI & Data Science Solutions)
Lead a team to design and build generative AI and data-science solutions using Python, TensorFlow/PyTorch, LangChain, and cloud services, while overseeing MLOps, microservices, and CI/CD pipelines.
Lead AI Engineer (Generative AI & Data Science Solutions)
Lead AI Engineer designing and implementing generative AI and data-science solutions, including multi-agent systems, reasoning loops, and MLOps tooling in Python/Java with cloud providers.
Senior AI Engineer — Generative AI & Data Science
Leads AI engineering for generative AI and data-science solutions, designing multi-agent patterns and LLMOps pipelines using Python and ML frameworks.
Forward Deployed AI Engineer Data Advisory · Madrid ·
Build and deploy GenAI solutions (RAG, agents, assistants) for enterprise clients, turning AI challenges into measurable results in weeks while balancing speed, cost, and governance.
Senior AI Engineer / Data (Document AI), Madrid
Build and deploy AI-powered document processing systems using Python, NLP, OCR, and LLMOps in a production Kubernetes environment.
AI Engineer – AI Data Platforms (RE3)
Build and maintain scalable data pipelines and knowledge bases to power AI models and retrieval systems, ensuring high-quality, trustworthy data foundations for generative AI and analytics.
AI Engineer / Data Scientist – GenAI & LLMs
Build and deploy GenAI assistants for corporate banking using LLMs, RAG pipelines, and prompt engineering to enable natural-language queries over client data and support decision-making.
Senior Data & GenAI Engineer/Consultant - Barcelona
Build and scale data-driven and generative AI solutions for global clients in banking, pharma, and public sector using cloud platforms, Spark, and Azure OpenAI.
Data Engineer
Build and run the AIOps platform that keeps AI models, LLM pipelines, and agents reliable, scalable, and cost-efficient in AWS/Azure.
DevOps Engineer (Cloud/Hybrid)
Build and maintain cloud/hybrid CI/CD pipelines, Kubernetes clusters, and automation toolchains for Siemens Mobility’s transport-focused SaaS platforms.