AI Engineer

About the job

Job Purpose: This role is responsible for building AI centric solutions within Cendyn; helping to build and deploy intelligent features across Cendyn's hospitality technology products. You'll work across our polyglot stack (.NET, Node.js, Python) to integrate LLMs, build RAG systems, and develop AI-powered APIs. We’re looking for someone hungry to learn, eager to dive into new technologies, and excited about the opportunity to grow their AI engineering skills while contributing to real production systems. Job Responsibilities: Essential Functions: - Collaborate with senior engineers to implement AI features using LLMs (OpenAI, Anthropic, Azure OpenAI) integrated into Cendyn products. - Help build and maintain RAG (Retrieval-Augmented Generation) systems using vector databases. - Develop prompt engineering strategies and contribute to evaluation frameworks for AI output quality. - Build user interfaces using modern frameworks (React, Vue.js, Angular) that surface AI capabilities through intuitive experiences. - Develop backend services across our technology stack (.NET/C#, Node.js, Python) implementing AI orchestration workflows. - Write clean, testable, maintainable code following development standards across all layers of the application stack. - Contribute to data pipelines that prepare and serve data to AI systems. - Help configure cloud infrastructure (AWS, Azure) for AI workloads with guidance from senior team members. - Contribute to CI/CD pipelines for AI-powered applications using containerization (Docker, Kubernetes). - Participate in code reviews, architectural discussions, and continuous improvement of development processes. - Stay current with AI/ML technologies and frameworks, bringing new ideas to the team. - Document AI patterns and learnings to share knowledge with teammates. - Follow and help improve software development standards and best practices. - Troubleshoot issues and help implement fixes across the full application stack. - Participate in on-call rotation with support from senior engineers.

Requirements

• AI features
• LLMs
• RAG systems
• Python
• Backend services

Qualifications

• Bachelor's degree or equivalent
• 1-3 years professional software development experience

Preferred Technologies

• AI features
• LLMs
• RAG systems
• Python
• Backend services