Full Stack Engineer

Pontevedra 17-01-2026

Full Stack Engineer

Pontevedra 17-01-2026
Resumen

Localización

Area

Tipo de contrato

Indefinido

Fecha de publicación

17-01-2026

Descripción de la oferta

A forward thinking Swiss tech company are seeking to bolster their team with an experienced full stack developer. Lea el resumen de esta oportunidad para comprender qué habilidades, incluidas las habilidades interpersonales relevantes y el dominio de paquetes de software, se requieren. Please note this is a fully remote opportunity based from Spain with occasional travel. Full rights to work must already be in place before applying. Responsibilities: Own AI solutions end to end, taking them from concept and architecture through production deployment and ongoing improvement. Design and implement production-grade AI systems, selecting appropriate tools and technologies to ensure reliability and real-world performance. Build and maintain scalable data and ML pipelines, including analytics infrastructure, feature stores, orchestration, deployment, and monitoring. Develop, train, evaluate, and deploy advanced models (including LLM-based systems), and implement retrieval techniques such as RAG and graph-based approaches. Collaborate cross-functionally to define data tracking, analytics foundations, and AI strategy, and optimize models for edge or on-device use when needed. Requirements: Proven experience delivering complete AI solutions end to end, with accountability for deployment, monitoring, and iteration. Strong Python skills and hands-on expertise with ML frameworks such as Scikit-Learn, TensorFlow, PyTorch, and Hugging Face. Solid background in MLOps and data engineering, including tools like MLflow or ZenML, dbt, and cloud data warehouses or data lakes. Experience building and orchestrating data pipelines with Airflow and modern data stacks (e.G., Kafka, Spark, BigQuery, Redshift, Snowflake). A practical, builder-oriented mindset with strong problem-solving skills, including model evaluation, reliability testing, and experience with RAG, graph retrieval, and prompt design. xqysrnh If this role is of interest please apply directly on LinkedIn or send a copy of your CV to. By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (

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