| Location | Orlando, FL |
| Salary | $150,000–$180,000 Per Year |
Project InfoPosition InfoWe are looking for an AI-Native Full Stack Engineer to support the development and evolution of the clients ecosystem. In this role you will design develop test and deliver cloud-native applications while using AI-assisted engineering practices throughout the software development lifecycle.The ideal candidate is a strong full-stack engineer who uses AI tools and automation as part of their daily workflow and can contribute across frontend backend cloud integration and DevOps activities.The estimated salary range for this position is USD 150000 to 180000 per year.TechnologiesResponsibilities Develop and maintain frontend and backend platform capabilities Build secure scalable cloud-native applications Participate in architecture discussions design reviews code reviews and production support Use AI-native development practices to improve productivity delivery speed and quality Create automated test coverage and technical documentation Collaborate with product architecture security and platform teams Support integration with enterprise systems and services Contribute to monitoring troubleshooting and the continuous improvement of engineering practicesRequirements Strong experience as a Full Stack Engineer building cloud-native applications with React TypeScript Next.js Java Spring Boot and Node.js. Hands-on experience designing and developing REST APIs microservices and responsive accessible user interfaces. Solid knowledge of SQL and NoSQL databases such as PostgreSQL and MongoDB. Experience with AWS services Docker CICD pipelines GitHub Actions and Infrastructure as Code preferably with Terraform. Strong understanding of OAuthOIDC JWT authentication secure coding practices API integrations and enterprise integration patterns. Daily use of AI development tools such as GitHub Copilot Cursor Claude Code or equivalent tools as part of the software delivery workflow. Experience with AI-assisted coding testing debugging documentation and prompt engineering. Experience in LMS EdTech AI-powered products skills assessment platforms simulation-based learning or enterprise SaaS solutions is a plus.