Senior AI Engineer — Remote (Ireland, LLMs & NLP)

Nicoll Curtin

Ireland

On-site

EUR 90,000 - 130,000

Full time

4 days ago
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Job summary

Nicoll Curtin partners with an Irish-based software company to recruit a Senior AI Engineer for a fully remote role based in Ireland. You will contribute to AI-driven products spanning NLP, LLMs, and scalable ML systems, influencing technical direction and product innovation.

You will design and deploy production-scale AI/ML solutions, work with AWS data pipelines, and collaborate with product teams to embed AI capabilities into core offerings.

Qualifications

  • 5+ years' experience building software and machine learning solutions in production environments.
  • Experience with frameworks such as PyTorch, TensorFlow, or similar.
  • Proven experience working with LLMs, NLP, and modern deep learning techniques.
  • Strong understanding of the machine learning lifecycle, from development through deployment and monitoring.
  • Experience building data-intensive applications on AWS.
  • Exposure to both batch and real-time machine learning pipelines.

Responsibilities

  • Design and deploy production-scale AI and ML solutions.
  • Build applications leveraging NLP techniques and Large Language Models.
  • Develop and optimise ML pipelines and cloud-based AI infrastructure.
  • Take AI products from concept through to production.
  • Work with product and engineering teams to embed AI capabilities into core products.
  • Drive best practices around model performance, reliability, and scalability.

Skills

ML development
PyTorch/TensorFlow
LLMs/NLP
AWS
Data-intensive apps
Batch/Real-time pipelines

Job description

Nicoll Curtin partners with an Irish-based software company to recruit a Senior AI Engineer for a fully remote role based in Ireland. You will contribute to AI-driven products spanning NLP, LLMs, and scalable ML systems, influencing technical direction and product innovation.

You will design and deploy production-scale AI/ML solutions, work with AWS data pipelines, and collaborate with product teams to embed AI capabilities into core offerings.

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