Senior Software Engineer - Python

Genesys; Galway; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Flexible work options

Annual bonus program

Comprehensive health coverage

Pension plan

Paid volunteering time

Job summary

Genesys is hiring a Senior Engineer to design, build, and productionize ML systems for conversational AI. You will work across the stack with researchers, engineers and product teams to ship reliable AI solutions at enterprise scale.

The role focuses on building agentic AI, maintaining scalable pipelines, and collaborating to translate prototypes into robust, secure production systems. Onsite in Galway two to three days per week.

Qualifications

• 4+ years of professional software/ML experience.
• Strong Python programming experience; Java a plus.
• Cloud services experience (AWS or equivalent).
• Proven ability to build/operate APIs and microservices at scale.

Responsibilities

• Design, develop, and maintain agentic AI systems for conversational interfaces.
• Build scalable ML pipelines for real-time and async interactions.
• Develop and integrate LLM-powered agents for multi-turn reasoning and task execution.
• Productionize models and services: APIs, microservices, observability, reliability.
• Collaborate with research and product to turn prototypes into robust solutions.
• Implement performance, scalability, and security best practices.

Skills

Python

Java

LLM experience

Problem-solving

Communication

Tools

AWS

APIs & Microservices

LangChain

PyTorch/TensorFlow

LLM tooling

Job description

Be the one building AI-powered experiences where they matter most. At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships. Help build, support and operate technology used by more than 8,000 organizations in over 100 countries – moving AI from possibility to production in real-world enterprise environments every day. Location: For this role, we are looking for candidates who are able to work onsite in our Galway office two to three days per week. We’re building large-scale conversational and agentic AI that serves 7,500+ organizations. As a Senior Engineer, you’ll design, build, and productionize ML systems—especially LLM-powered agents—that interact intelligently with users and other services. You’ll work hands‑on across all aspects of AI from design and research, to backend integration. At the same time partnering with researchers, engineers, and product to ship reliable, scalable AI.

What You Will Do

• Design, develop, and maintain agentic AI systems for conversational interfaces.
• Build and optimize scalable ML pipelines for real‑time and async interactions.
• Develop and integrate LLM-powered agents capable of multi‑turn reasoning and task execution.
• Productionize models and services: APIs, microservices, observability, and reliability.
• Collaborate with research and product to translate prototypes into robust solutions.
• Implement best practices for performance, scalability, and security in AI applications.
• Write clear, maintainable code and tests; review code and mentor peers.
• Stay current on advancements in LLMs, conversational AI, and agentic patterns.

What We’re Looking For

• 4+ years of professional software/ML experience.
• Strong proficiency in Python as your primary programming language, with Java experience considered a plus.
• Solid foundation in software engineering and system design.
• Cloud services experience, AWS or equivalent.
• Proven ability to build/operate APIs and microservices at scale.
• Strong problem‑solving, communication, and collaboration in fast‑paced environments.

Nice to Have

• Hands‑on with LLMs (GPT/Claude/Mistral), fine‑tuning, RAG, and prompt engineering.
• Experience with agent frameworks (LangChain, Bedrock, OpenAI tools/function calling).
• Experience with ML frameworks (PyTorch/TensorFlow).
• Vector databases (Pinecone, Weaviate, FAISS) and embedding‑based retrieval.
• Real‑time AI apps (chatbots, voice, copilots); multi‑agent or autonomous reasoning systems.

Why Join our team

Shape the future of agentic, production‑grade conversational AI at global scale. Work across the stack—modeling, systems, and product—alongside experienced peers. Influence architecture and standards for reliability, safety, and impact.

Our Benefits At Genesys

• Flexible work options.
• Career development & growth – Access continuous learning opportunities, mentoring, and clear paths for advancement.
• Competitive pension scheme – Invest in your future with an excellent employer‑supported pension plan.
• Annual bonus program – Be rewarded for your impact and contributions.
• Comprehensive health coverage – Including private health insurance, access to company dental plan, and wellness supports.
• Financial protection – Enjoy Income Protection and Life Assurance, along with access to dedicated financial planning resources to help you make confident, informed decisions about your future.
• Family‑friendly policies – Generous paid maternity and paternity leave, along with supportive leave options designed for every stage of life.

#LI-MC1

Working at Genesys AI at enterprise scale – Build, support and operate AI‑powered technology used by more than 8,000 organizations worldwide.

150+ new AI features were released in the last fiscal year.

A flexible‑first culture – Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work.

Growth in the AI era – Build future‑ready skills through mentorship, learning programs, leadership development and education support.

Time to recharge and give back – Benefits include paid volunteer time, August Free Fridays, well‑being resources and regionally tailored programs for employees and their families.

Recognized globally – Genesys is Great Place to Work® certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.

Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report.

Stay Connected Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available. Get notified about relevant opportunities.

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: 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 [e-mail]. 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.