Software Engineer AI/ ML

Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements.

We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together.

Location: For this role we are open to candidates who have flexibility to work on hybrid basis from our office in Galway City two to three days per week.

The Team and Your Role

We're a diverse team that believes AI innovation creates value through intelligent solutions. We're seeking an AI/ML Engineer to design and deliver innovative AI/ML solutions in a cloud environment, leveraging advanced technical knowledge to solve complex problems, influence project direction in a collaborative environment.

What You Will Do

• Design, develop, and deploy high-quality Python/Java services in AWS Cloud, as well as contributing to AI/ML feature development and integrating AI/ML models into production systems

• Collaborate with the team to design and build scalable services, create documentation, and develop RESTful APIs for Genesys Cloud users

• Own features end-to-end from design through to deployment, engaging in all phases of agile software delivery while building alignment among multiple stakeholders

• Provide constructive feedback, mentor Associate SDEs, and champion CI/CD, testing, and security practices

• Learn and implement emerging AI/ML technologies, contribute to release process improvements, and share knowledge across the team

Required Skills & Experience

• University degree in Computer Science, Engineering, Mathematics, Data Science, or related field (or equivalent experience), with minimum 2 years of software engineering experience

• Strong Python/Java skills with solid understanding design patterns, data structures, and algorithms, plus experience of machine learning concepts and familiarity with at least one AI/ML framework

• Experience with AWS fundamentals (S3, EC2), RESTful API development, microservices architecture concepts, and hands-on experience with CI/CD tooling and Git version control

• Effective communicator who builds stakeholder alignment and thrives in agile teams with active participation in code reviews

• Self-motivated problem solver with natural curiosity, enthusiasm for continuous learning, clean code principles, and sharing knowledge with teammates

• Demonstrated awareness of modern AI technologies and their implications (safety, privacy, reliability), with role-appropriate skills developed through internal training and applied practice

Desirable Skills & Experience

• Experience with Large Language Models (LLMs), prompt engineering, AI/ML model deployment, MLOps practices, or hands-on experience with AI/ML frameworks in production environments

• Experience with event-driven architecture, advanced microservices patterns, serverless computing (AWS Lambda), or knowledge of DevOps and SRE principles beyond basic CI/CD

• Experience with data analysis tools, data streaming platforms (Kafka), building ML pipelines, or familiarity with AI/ML analytics frameworks

• Previous experience mentoring developers, leading technical discussions across teams, or improving development processes

• An awkward sense of humor and collaborative mindset (we appreciate authenticity!)

What We Offer

Contribute to technical initiatives affecting millions of users globally while working with cutting-edge technologies and contributing to research initiatives. Clear advancement paths toward technical leadership with strategic influence on product direction. Flexible work options and a culture built on mutual support, psychological safety, and work-life balance.

Our Benefits:

• Flexible work schedules and work-from-home options

• Development and career growth opportunities

• Excellent pension scheme

• Bonus scheme

• Health Insurance

• Income Protection & Life Assurance

• Family-friendly leave allowances, including paid maternity and paternity leave.