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AI Engineer with a mathematical background and hands-on experience in designing, developing, and implementing solutions based on artificial intelligence, large language models (LLMs), scalable architectures, and business-oriented intelligent systems, with the ability to work in cloud environments and lead digital transformation initiatives.
AI Engineer with a solid mathematical foundation and hands-on experience in designing, developing, and implementing AI-based solutions. The ideal candidate will specialize in large language models (LLMs), scalable architectures, and business-oriented intelligent systems, with the ability to work in cloud environments and lead digital transformation initiatives.
Responsibilities:
* Design, develop, and deploy AI solutions based on large language models (LLMs) and generative systems.
* Build and integrate agent-based systems using frameworks such as LangChain, LangGraph, or similar.
* Develop MLOps pipelines for training, fine-tuning, deployment, and monitoring of models.
* Implement Retrieval-Augmented Generation (RAG) solutions with vector databases and document indexing pipelines.
* Design scalable architectures based on microservices and cloud environments (Azure, AWS, or GCP).
* Develop automation tools for code analysis, technical documentation, and application modernization.
* Define and optimize data architectures (SQL/NoSQL), including modeling, migrations, and performance.
* Collaborate with multidisciplinary teams to align technical solutions with business objectives.
* Participate in the modernization of legacy systems using event-driven and domain-driven architectures.
* Lead end-to-end implementations from prototype to production, ensuring scalability and reliability.
The selected candidate will bring the following as an AI Engineer:
Education
* Degree in Mathematics
* A master's degree in Data Science, Artificial Intelligence, Statistics, or related disciplines is a plus.
Experience
* 4-5 years of experience in roles related to AI, Machine Learning, or Data Engineering.
* Proven experience in developing and deploying solutions with LLMs and generative systems.
* Experience working with cloud infrastructures and distributed architectures.
Technical Skills
* Languages: Python (required), R, or other technical languages.
* AI/ML Frameworks: Transformers, LLM fine-tuning, LangChain, etc.
* GenAI APIs and tools: OpenAI, LLaMA models, or equivalents.
* MLOps: CI/CD, model versioning, monitoring.
* Databases: SQL (PostgreSQL) and NoSQL (MongoDB, Neo4j, vector DBs).
* Cloud environment
* Data processing: batch and streaming pipelines.
Additional Valued Skills
* Graphs and recommendation systems.
* Mathematical optimization and operations research.
* Experience with BI tools (Power BI).
* Event-driven and microservices architectures.
* Big Data knowledge (Kafka, Spark, etc.).
Competencies
* Analytical thinking and orientation toward solving complex problems.
* Architectural design skills and end-to-end vision.
* Results-oriented with a focus on business impact.
* Teamwork and communication with both technical and non-technical profiles.
* Proactivity and continuous learning in emerging technologies.
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Michael Page is a global recruitment consultancy and part of PageGroup, one of the world's leading professional recruitment firms. The company specializes in placing mid-to-senior level professionals across a wide range of sectors, including technology, engineering, finance, sales, and human resources. With a strong presence in Spain, Michael Page operates offices in major cities and offers services such as executive search, temporary staffing, and outsourcing solutions.
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