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2 дня назад

Senior AI/ML Engineer (Agentic AI)

Формат работы
hybrid/onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Ireland/Europe
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior AI/ML Engineer (Agentic AI): Designing, building, and deploying production-ready machine learning and Agentic AI systems with an accent on scalable applications, data and memory pipelines, MLOps, and cloud architectures. Focus on integrating LLMs, APIs, microservices, and distributed systems while solving complex technical challenges and mentoring engineers.

Location: Hybrid role based in Letterkenny, County Donegal, Ireland, with on-site attendance three days per week. Candidates must be eligible to work in Ireland or the EU.

Company

hirify.global is recruiting for a global technology organisation expanding its AI engineering capability in Ireland.

What you will do

  • Design, develop, and deploy machine learning and Agentic AI systems for complex business challenges.
  • Build scalable, production-ready AI applications and services, including data, ingestion, and memory pipelines.
  • Apply MLOps, CI/CD, testing, monitoring, model governance, and versioning practices.
  • Use cloud technologies and distributed architectures to deliver AI at scale.
  • Develop and integrate APIs, microservices, and other software components.
  • Investigate complex technical challenges, track emerging AI technologies, and provide technical guidance and mentoring.

Requirements

  • Strong commercial experience in AI/ML engineering or a closely related discipline.
  • Excellent Python skills, with experience in C++ and/or SQL.
  • Strong knowledge of machine learning and deep learning, including PyTorch, TensorFlow, or scikit-learn.
  • Experience building and deploying production ML/AI systems, with an understanding of LLMs, Agentic AI, and modern AI development practices.
  • Experience with cloud platforms, ideally AWS.
  • Knowledge of MLOps, CI/CD, model monitoring, and versioning.
  • Experience with data pipelines, databases, and distributed processing technologies such as Spark or PySpark.
  • Strong understanding of software engineering fundamentals, including APIs, microservices, testing, version control, and system design.

Nice to have

  • Experience with LLM tooling, AI agents, or the Agent Development Life Cycle (ADLC).
  • Experience with MLflow, SageMaker, or similar MLOps platforms.
  • Experience with knowledge graphs, graph databases, or semantic data models.
  • Experience with reinforcement learning, NLP, or computer vision.

Culture & Benefits

  • Opportunity to work on challenging AI and Agentic AI projects and influence architecture and engineering practices.
  • Collaborative environment with learning, innovation, and career development opportunities.
  • Annual bonus scheme, contributory pension, private medical insurance, life assurance, and long-term disability cover.
  • Employee Assistance Programme, 22 days of annual leave, and 10 public holidays.
  • Relocation package, continuous learning and development, training and certification resources, and Lunch & Learn sessions.
  • Company discounts, on-site parking, and a bike-to-work scheme.

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