Full Stack Engineer

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.

If this role is of interest please apply directly on LinkedIn or send a copy of your CV to alex@eu-recruit.com.

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