Software Engineer - CRS
Agilysys, Inc.
7d
About The Position
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.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related technical field (or equivalent practical 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
- 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.)
- Strong problem-solving and system design skills
- Ability to translate ambiguous business problems into AI-driven solutions
- Strong communication and collaboration skills
Nice To Haves
- 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
Responsibilities
- 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
- 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
- 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
- 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
Benefits
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Number of Employees
501-1,000 employees
