Responsible AI Engineer AI Research Engineer Contractor (Spain)

Spain Hybrid in Madrid Barcelona Málaga or Logroño Remote from the rest of Spain

We are looking for a Responsible AI Engineer to help design evaluate and deploy AI solutions in highly regulated environments.

The role combines machine learning generative AI model evaluation AI governance fairness explainability and risk management. You will work on the development and assessment of advanced AI systems while helping establish best practices around Responsible AI model governance and compliance.

This position is ideal for candidates who enjoy bridging cutting-edge AI research with real-world production deployments.

• Design develop and evaluate Machine Learning and Generative AI solutions.

• Research and apply state-of-the-art approaches in Responsible AI.

• Assess model performance fairness robustness and explainability.

• Benchmark different AI and LLM solutions across multiple business use cases.

• Identify and mitigate risks related to bias privacy fairness and model behavior.

• Collaborate with engineering data product and business teams to deploy AI solutions into production.

• Define evaluation frameworks governance processes and Responsible AI best practices.

• Analyze emerging AI regulations and industry standards.

• Contribute to model monitoring validation and continuous improvement activities.

• Communicate technical findings and recommendations to both technical and non-technical stakeholders.

• MSc or PhD in Computer Science Mathematics Engineering Physics or related quantitative disciplines.

• 3 years of hands-on experience in AI Machine Learning or Responsible AI initiatives.

• Strong Python programming skills.

• Experience with:

  • PyTorch

  • TensorFlow

  • Scikit-learn

  • Hugging Face

• Experience developing evaluating and deploying ML models in production.

• Strong understanding of:

  • Responsible AI

  • Fairness

  • Explainability (XAI)

  • Model Governance

  • AI Risk Management

• Experience evaluating and comparing LLMs.

• Experience with Generative AI solutions beyond simple API consumption.

• Knowledge of model evaluation metrics benchmarking methodologies and validation frameworks.

• Familiarity with AI regulations and governance frameworks.

• RLHF DPO or model alignment techniques.

• LLM fine-tuning and model training.

• AWS Azure or GCP.

• MLOps and automated deployment pipelines.

• Financial services or banking experience.

• Open-source AI contributions.

• Fraud detection and anomaly detection use cases.

• Knowledge graphs RAG or semantic retrieval solutions.

• Contractor

• Hybrid in:

  • Madrid

  • Barcelona

  • Málaga

  • Logroño

• Remote from the rest of Spain.