LocationsGalway, Irelandtime typeFull timeposted onPosted Todayjob requisition idJR109631Genesys 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 RoleWe'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 DoDesign, 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 systemsCollaborate with the team to design and build scalable services, create documentation, and develop RESTful APIs for Genesys Cloud usersOwn features end-to-end from design through to deployment, engaging in all phases of agile software delivery while building alignment among multiple stakeholdersProvide constructive feedback, mentor Associate SDEs, and champion CI/CD, testing, and security practicesLearn and implement emerging AI/ML technologies, contribute to release process improvements, and share knowledge across the teamRequired Skills & ExperienceUniversity degree in Computer Science, Engineering, Mathematics, Data Science, or related field (or equivalent experience), with minimum 2 years of software engineering experienceStrong 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 frameworkExperience with AWS fundamentals (S3, EC2), RESTful API development, microservices architecture concepts, and hands-on experience with CI/CD tooling and Git version controlEffective communicator who builds stakeholder alignment and thrives in agile teams with active participation in code reviewsSelf-motivated problem solver with natural curiosity, enthusiasm for continuous learning, clean code principles, and sharing knowledge with teammatesDemonstrated awareness of modern AI technologies and their implications (safety, privacy, reliability), with role-appropriate skills developed through internal training and applied practiceDesirable Skills & ExperienceExperience with Large Language Models (LLMs), prompt engineering, AI/ML model deployment, MLOps practices, or hands-on experience with AI/ML frameworks in production environmentsExperience with event-driven architecture, advanced microservices patterns, serverless computing (AWS Lambda), or knowledge of DevOps and SRE principles beyond basic CI/CDExperience with data analysis tools, data streaming platforms (Kafka), building ML pipelines, or familiarity with AI/ML analytics frameworksPrevious experience mentoring developers, leading technical discussions across teams, or improving development processesAn awkward sense of humor and collaborative mindset (we appreciate authenticity)What We OfferContribute 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 optionsDevelopment and career growth opportunitiesExcellent pension schemeBonus schemeHealth InsuranceIncome Protection & Life AssuranceFamily-friendly leave allowances, including paid maternity and paternity leave.If a Genesys employee referred you, please use the link they sent you to apply.About Genesys:Genesys empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit.Reasonable Accommodations:If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at.You can expect a response within 24–48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation—such as application follow-ups or resume submissions—may not receive a response.Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.Please note that recruiters will never ask for sensitive personal or financial information during the application phase.