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: We are open to this person working hybrid from our office in Galway or remote within Ireland
The Conversational AI group are seeking a Staff Software Engineer AI/ML to join the team and drive the evolution of our Conversational AI solutions with a focus on Generative AI systems at global scale (reaching over 7,500 organizations in 100+ countries). This role offers the opportunity to shape the future of our AI capabilities while leading complex technical initiatives that will define our journey towards Agentic AI. You'll work at the intersection of cutting-edge AI research and practical implementation, delivering solutions that have a significant organizational impact. You will collaborate closely with UX designers, and product teams supporting each other to bring state-of-the-art AI technologies to production.
This is an opportunity to shape the future of AI-driven conversations and develop robust, scalable architectures for intelligent agents. And a great opportunity to work at the intersection of software engineering and AI. If you are passionate about building next-generation AI applications and have a strong background in software engineering, distributed systems, and AI development, we’d love to hear from you.
What You Will Do:
Lead technical architecture and development of our Virtual Agents engine, ensuring scalability, reliability, and performance.
Design and implement innovative AI solutions that advance our conversational AI capabilities and support our Agentic AI vision.
Manage complex technical projects from conception to delivery, including work delegation and technical review processes.
Collaborate cross-functionally with product teams, researchers, and stakeholders to translate business requirements into technical solutions.
Mentor and guide junior engineers, providing technical coaching and knowledge transfer.
Drive technical standards and best practices across AI development workflows (e.g., security, testing).
Research and evaluate emerging AI technologies and methodologies to maintain our competitive edge.
Communicate complex technical concepts to both technical and non-technical stakeholders at all organizational levels.
Stay current with industry trends in conversational AI, LLMs, and agentic systems.
What We're Looking For:
Ideally, a degree in Computer Science, Software Engineering, Data Science, or related disciplines. However, this is not a hard requirement as we recognise there are many diverse paths into software careers.
7+ years of software engineering experience with demonstrated expertise in AI/ML systems
Strong software engineering fundamentals including system design, data structures, algorithms, and software architecture.
Experience leading complex technical projects and managing technical deliverables.
Excellent communication skills with the ability to influence and explain complex concepts across organizational levels.
Strong proficiency in Python, with experience in building microservice applications.
Experience with AWS, microservices architecture, and scalable system design.
Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
Demonstrated awareness of modern AI technologies and their implications (safety, privacy, reliability), with role-appropriate skills developed through internal training and applied practice
Desirable Experience or an Interest in Learning:
Experience in developing REST API’s using frameworks such as FastAPI, Spring Boot, or Flask-RESTX.
Experience with real-time AI-driven applications (e.g., chatbots, voice assistants, AI copilots).
Experience with cloud platforms (particularly AWS) and AI/ML services.
Hands-on experience with LLMs (e.g., GPT, Claude, Mistral), fine-tuning, and prompt engineering.
Experience with AI agent frameworks (e.g., Bedrock, LangChain, AutoGPT, OpenAI Function Calling).
Experience with multi-agent systems and autonomous agent architectures.
Experience with vector databases and retrieval-augmented generation (RAG).
Contributions to open-source AI projects, research publications, or patents in AI/ML.
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.
If you are excited about pushing the boundaries of conversational AI and agentic intelligence while leveraging strong leadership skills, we encourage you to apply and be part of our team!
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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 www.genesys.com.
Reasonable Accommodations:
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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.
