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Castillians

Senior AI Engineer

Castillians

AI Engineer designing and deploying next-generation AI/ML and Generative AI solutions. Collaborate with cross-functional teams to drive business transformation at scale.

Posted 4/25/2026contractRemote • 🇮🇪 IrelandSeniorWebsite

Tech Stack

Tools & technologies
AirflowAWSAzureCloudDistributed SystemsDockerETLGoogle Cloud PlatformKubernetesPythonPyTorchScikit-LearnSparkTensorflow

About the role

Key responsibilities & impact
  • Be part of our Global Engineering Network!
  • Responsible for designing, building, and deploying next-generation AI/ML and Generative AI solutions that drive business transformation at scale.
  • Own the end-to-end AI lifecycle: data ingestion, model development, deployment, and monitoring.
  • Build and optimise scalable ML pipelines and services.
  • Develop AI-driven automation solutions, including intelligent agents.
  • Implement MLOps best practices (CI/CD, model versioning, monitoring, retraining).
  • Collaborate with cross-functional teams (engineering, product, data) to deliver AI solutions.
  • Translate business needs into technical AI use cases and architectures.
  • Stay up to date with emerging AI trends and contribute to innovation initiatives.

Requirements

What you’ll need
  • Advanced degree in AI, Computer Science, or related field
  • 5+ years of experience in AI/ML engineering, data science, or software engineering
  • Strong programming skills in Python
  • Experience with machine learning frameworks (e.g. TensorFlow, PyTorch, Scikit-learn)
  • Hands-on experience with Generative AI / LLMs / NLP systems
  • Experience building data pipelines (ETL, Spark, Airflow, etc.)
  • Solid understanding of: Machine Learning and Deep Learning, NLP, information retrieval, or recommendation systems
  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Familiarity with containerisation and orchestration (Docker, Kubernetes)
  • Experience working in production environments (MLOps, deployment, scaling)
  • Experience with: Retrieval-Augmented Generation (RAG), AI agents / multi-agent systems, Large-scale distributed systems
  • Knowledge of AI governance, security, and responsible AI practices
  • Contributions to open-source, research, or patents.

Benefits

Comp & perks
  • Access to CX guidance and market insights through our professional network.

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Hard Skills & Tools
AI engineeringML engineeringdata sciencePythonTensorFlowPyTorchScikit-learnGenerative AINLPMLOps
Soft Skills
collaborationcommunicationinnovation
Certifications
advanced degree in AIadvanced degree in Computer Science