TL;DR

Staff Software Engineer - AI/ML (AI Engineering): Architecting and delivering cutting-edge AI solutions at enterprise scale with an accent on AI Agentic Orchestration, LLM deployments, and multi-agent frameworks. Focus on enabling intelligent, autonomous coordination between AI agents to deliver seamless, adaptive enterprise experiences.

Location: Flexible work options with hybrid schedules, work-from-home flexibility, and the option to collaborate onsite in our state-of-the-art Galway office, Ireland

Company

Genesys empowers organizations to improve loyalty and business outcomes by creating the best experiences for their customers and employees.

What you will do

  • Lead AI/ML architecture discussions and drive technical strategy for organizational AI initiatives.
  • Architect and implement large-scale AI/ML systems including LLM deployments, multi-agent frameworks, and enterprise platforms.
  • Own end-to-end delivery of major AI/ML projects from research through production deployment.
  • Mentor AI/ML engineers and data scientists while influencing technical standards across the organization.
  • Champion MLOps best practices, troubleshoot complex production issues, and drive responsible AI governance.

Requirements

  • 7+ years AI/ML engineering experience with university degree in Computer Science, AI/ML, Data Science, or equivalent.
  • Deep expertise with Large Language Models, fine-tuning, prompt engineering, and multi-agent systems.
  • Expert-level experience deploying AI systems at scale with strong MLOps, governance, and monitoring practices.
  • Expert-level Python and strong Java skills, deep knowledge of AI/ML frameworks (TensorFlow, PyTorch), proven ability to design and build microservices architectures including RESTful APIs and service orchestration for ML workloads.
  • Advanced AWS/cloud knowledge for AI workloads, distributed computing, and containerization technologies.
  • Strong leadership and communication skills with proven ability to mentor teams and drive technical strategy.

Nice to have

  • Experience with tool-using AI agents, autonomous systems, and advanced reinforcement learning.
  • Model optimization techniques, distributed training strategies, and experimental design.
  • AI research experience, technical publications, and open source contributions.
  • Understanding of AI product development cycles and transformation initiatives.
  • Collaborative mindset with an appreciation for authenticity and diverse perspectives.

Culture & Benefits

  • Flexible work options with hybrid schedules, work-from-home flexibility, and the option to collaborate onsite in our state-of-the-art Galway office.
  • Career development & growth – Access continuous learning opportunities, mentoring, and clear paths for advancement.
  • Competitive pension scheme.
  • Annual bonus program.
  • Comprehensive health coverage including private health insurance, access to company dental plan, and wellness supports.
  • Family-friendly policies with generous paid maternity and paternity.