Senior AI/ML Engineer – Hybrid, Agentic AI

Methodius Ltd; Donegal; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Annual Bonus Scheme

Contributory Pension

Private Medical Insurance

Life Assurance

Long-Term Disability

Employee Assistance Programme

22 days annual leave

Relocation package

Training & certification resources

Job summary

Methodius Ltd in Ireland is seeking a Senior AI Engineer to design, build and deploy production-ready AI and ML solutions. You will collaborate with Data Scientists, Data Engineers and Product teams to take AI from concept to production in a cloud-based, distributed environment.

This role emphasizes cutting-edge machine learning, Agentic AI, and scalable services. You’ll mentor peers, implement MLOps practices, CI/CD, testing and monitoring, and work with APIs and microservices across AWS cloud.

Qualifications

• Proven commercial experience in AI/ML engineering or related field.
• Strong Python and software engineering fundamentals.
• Experience deploying production ML/AI systems and cloud knowledge.

Responsibilities

• Design and develop machine learning and Agentic AI systems for business challenges.
• Build scalable, production-ready AI applications and services.
• Develop data ingestion and memory pipelines to support AI/ML systems.
• Apply MLOps, CI/CD, testing, monitoring and model governance.
• Work with cloud technologies and distributed architectures to deliver AI at scale.
• Develop and integrate APIs, microservices and other software components.
• Mentor engineers and stay current with emerging AI technologies.

Skills

AI/ML engineering

Python

C++

SQL

LLMs

Cloud platforms

MLOps

CI/CD

APIs

Microservices

Spark/PySpark

Tools

PyTorch

TensorFlow

scikit-learn

MLflow

Job description

Methodius Ltd in Ireland is seeking a Senior AI Engineer to design, build and deploy production-ready AI and ML solutions. You will collaborate with Data Scientists, Data Engineers and Product teams to take AI from concept to production in a cloud-based, distributed environment.

This role emphasizes cutting-edge machine learning, Agentic AI, and scalable services. You’ll mentor peers, implement MLOps practices, CI/CD, testing and monitoring, and work with APIs and microservices across AWS cloud.