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For Permanent and Contract in Ireland

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    AI Engineer

    Republic of Ireland, Cork

    • €60,000 to €85,000 EUR
    • Developer/Programmer Role
    • Skills: AI Engineering, Machine Learning, AWS
    • Seniority: Mid-level

    Job description

    Senior AI Engineer

    As a Senior AI Engineer, you'll be at the forefront of applying cutting-edge AI technologies to solve real-world challenges. You'll work with a team dedicated to building AI-powered solutions that help global enterprises understand, manage, and automate complex processes across multiple markets and jurisdictions.

    Core Responsibilities:

    Product Development & Innovation:

    * Identify and implement opportunities where AI can create tangible value for customers.
    * Design and develop production-grade AI solutions that automate complex tasks.
    * Build and optimize advanced NLP models for document analysis and interpretation.
    * Contribute to finding the right ML framing of industry challenges.
    * Create scalable AI systems that can handle diverse requirements across different markets.

    Technical Leadership:

    * Take algorithms from proof-of-concept to production, ensuring robustness and scalability.
    * Establish processes for large-scale data analysis, model development, validation, and deployment.
    * Build and maintain ML infrastructure that can evolve with growing needs.
    * Implement monitoring systems to track model performance and accuracy.
    * Ensure AI solutions maintain high standards of explainability and ethical considerations.

    Cross-functional Collaboration:

    * Work closely with product managers and subject matter experts to translate business requirements into technical solutions.
    * Partner with engineering teams to integrate AI capabilities into the core platform.
    * Contribute to technical documentation and knowledge sharing.
    * Participate in architecture discussions and technical decision-making.

    Key Skills:

    * 5+ years of hands-on experience in production environments, with a strong track record of designing and architecting distributed systems.
    * Experience developing and deploying production-grade software using ML frameworks such as TensorFlow, PyTorch, etc.
    * Deep understanding of engineering and infrastructure best practices, with a focus on the ML software development lifecycle.
    * Expertise in building, fine-tuning, and optimizing Large Language Models (LLMs), transformer architectures, and advanced NLP systems using frameworks like Hugging Face and OpenAI SDKs.
    * Strong background in modern deep learning techniques, LLMs, and data-intensive applications.
    * Familiarity with state-of-the-art agentic AI frameworks (e.g., LangChain, AutoGen, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, Google's ADK) and experience orchestrating multi-agent workflows.
    * Knowledge of techniques for optimizing ML inference performance.
    * Hands-on expertise designing and managing batch and real-time ML pipelines/workflows for structured and unstructured data on AWS (SageMaker, ECS, EKS, Airflow).
    * Familiarity with LLMOps and observability tools (Langsmith, Opik, Ragas, Weights & Biases) for monitoring, evaluation, and governance.
    * Excellent communication skills and the ability to collaborate effectively across teams.