Intership - Software Engineer AI

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
Do you want to Shape the next generation of AI-driven capabilities in hospitality technology. Do you want to work on high-impact, customer-facing innovations? Do you want to collaborate with a forward-thinking, global engineering team?
If this describes you, consider joining us as an intern in the summer of 2026! Interns will have the opportunity to engage with other engineers for both personal and professional development, expand your network, and participate in fun activities throughout the summer. Our interns partner with a manager and mentor to work on critical projects from the start! Your AI knowledge, design, code, and raw talents will have an impact on the future of Agilysys product
Our internships are full-time with start dates in May/June 2026. Junior or Senior standing (graduation target 2026 or 2027).
This job is limited to the first one hundred applicants.
Key Job Responsibilities

• Collaborate with experienced engineers to conceive, design, and bring to market innovative features and solutions
• Design and build innovative technologies that help lead fundamental changes to the hospitality industry
• Build hospitality technologies that are scalable, fault-tolerant, low cost, and easy to manage and use

What You Bring
Education

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related technical field. Coursework, academic projects, or research in AI/ML model development is a plus.

Experience

• Internship, academic project, research, or part-time experience in software engineering preferred
• Exposure to one or more of the following through coursework or hands-on projects:
• Building or deploying ML/AI models in real-world or production-like environments
• Developing applications using generative AI and LLM-based tools
• Working with APIs, cloud platforms, or scalable infrastructure

Technical Skills

• Familiarity with .NET and at least one additional programming language (C#, Java, Python, or JavaScript)
• Exposure to ML frameworks such as TensorFlow, PyTorch, or similar
• Familiarity with LLM tools and concepts (OpenAI APIs, LangChain, vector databases, prompt engineering)
• Basic understanding of cloud platforms (Azure preferred)
• Knowledge of data concepts such as ETL pipelines, structured/unstructured data, and data storage systems

Core Competencies

• Strong problem-solving and analytical skills
• Ability to translate ambiguous challenges into actionable technical solutions
• Strong communication and collaboration skills
• Curiosity and eagerness to learn and apply emerging AI/ML technologies

Nice to Have

• Experience building AI-powered features for SaaS platforms or customer-facing applications
• Exposure to NLP, recommendation systems, or personalization engines
• Familiarity with event-driven architecture or real-time data processing concepts
• Awareness of responsible AI practices, privacy principles, and model governance