Software Engineer - CRS
Role summary
Agilysys is seeking a Software Engineer to design, build, and deploy AI-powered solutions for the hospitality industry. This role involves developing machine learning and generative AI features, integrating them into production systems, and managing the ML lifecycle. Responsibilities include architecting scalable AI/ML systems in Azure, optimizing performance, ensuring robust APIs, and implementing MLOps best practices. The engineer will collaborate with product and data teams, mentor other engineers, and contribute to AI/ML best practices. A Bachelor's degree in a technical field or equivalent experience, 1-3 years of software engineering experience with 1+ years in AI/ML, and hands-on experience with generative AI and LLMs are required.
EngineeringAlpharetta, Georgia
Description
Agilysys (NASDAQ: AGYS) is a SaaS technology leader transforming the hospitality industry. Our cloud-based platform powers leading hotels, resorts, casinos, and restaurants — helping them deliver seamless operations and unforgettable guest experiences. We’re a team of innovators and problem-solvers bringing the art of hospitality into the digital age through technology that connects people, simplifies complexity, and drives smarter decisions.
Headquartered in Alpharetta, GA, with offices across North America, APAC and EMEA, we’re shaping the future of hospitality tech. For more information, visit www.agilysys.com
About the Role
We are looking for a Software Engineer to help design and deliver intelligent, data-driven solutions that enhance our platform and customer experience. In this role, you will build and deploy AI-powered capabilities—from predictive models to generative AI applications—while partnering closely with product, data, and engineering teams to bring innovative ideas into production.
What You’ll Do
AI Solution Development
- Design, build, and deploy machine learning and AI-powered features into production systems
- Develop and integrate generative AI applications (e.g., LLM-powered copilots, chat interfaces, automation tools)
- Implement data pipelines to support model training, inference, and monitoring
Engineering & Architecture
- Architect scalable AI/ML systems within a cloud-native environment
- Optimize model performance, latency, and cost for real-world production use
- Ensure robust APIs and services for integrating AI capabilities into core products
Model Lifecycle Management
- Support end-to-end ML lifecycle: data preparation, training, evaluation, deployment, and monitoring
- Implement MLOps best practices, including versioning, retraining, and observability
- Monitor model drift, performance degradation, and reliability in production
Collaboration & Leadership
- Partner with Product and business stakeholders to identify high-impact AI use cases
- Mentor engineers and contribute to AI/ML best practices across the team
- Collaborate with cross-functional teams to align AI capabilities with broader platform strategy
What You Bring
Education
- Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related technical field (or equivalent practical experience)
Experience
- 1 - 3 years of software engineering experience, with 1+ years working on AI/ML systems
- Experience deploying ML or AI models into production environments
- Hands-on experience with generative AI and LLM-based applications
Technical Skills
- Proficiency in .Net and at least one additional language (e.g., Java, C#, or JavaScript)
- Experience with ML frameworks (TensorFlow, PyTorch, or similar)
- Familiarity with LLM tooling (e.g., OpenAI APIs, LangChain, vector databases, prompt engineering)
- Experience with Azure cloud platforms and scalable infrastructure
- Knowledge of data engineering concepts and tools (ETL pipelines, data lakes, etc.)
Core Competencies
- Strong problem-solving and system design skills
- Ability to translate ambiguous business problems into AI-driven solutions
- Strong communication and collaboration skills
Nice to Have
- Experience building AI features for SaaS platforms or customer-facing applications
- Knowledge of recommendation systems, NLP, or personalization engines
- Experience with real-time data processing and event-driven architectures
- Familiarity with responsible AI practices, data privacy, and model governance
Why Join Us
- Shape the next generation of AI-driven capabilities in hospitality technology
- Work on high-impact, customer-facing innovations
- Collaborate with a forward-thinking, global engineering team
- Competitive compensation, benefits, and growth opportunities