Software Engineer - Java-Full Stack-AI/ML

Kforce Inc is seeking a highly skilled Full Stack Java Engineer with a strong foundation in AI and machine learning to support the development of advanced, enterprise-level applications. This role will play a key part in designing, building, and enhancing sophisticated software solutions that drive intelligent automation and scalable system performance.

Responsibilities:

• Design, develop, and maintain full stack Java applications across front-end and back-end layers
• Collaborate with stakeholders to gather and analyze system requirements and translate them into technical solutions
• Evaluate and implement enhancements, ensuring alignment with evolving business and technology needs
• Apply AI/ML expertise to support model integration, intelligent automation, and advanced analytics capabilities
• Develop detailed software specifications, test plans, and technical documentation
• Write clean, efficient, and scalable code aligned with best practices and client requirements
• Perform unit testing, debugging, and troubleshooting across new and legacy systems
• Customize and implement system software solutions tailored to functional requirements
• Create and manage migration packages for testing and deployment phases
• Conduct quality assurance reviews and ensure overall system reliability and performance
• Support post-implementation validation and resolve defects identified during testing

Requirements:

• Bachelor's degree in Computer Science, Computer Engineering, or a related technical field
• 3-5 years of professional software development experience
• Strong foundation in computer science fundamentals, including data structures, algorithms, and software design
• Experience designing and developing large-scale, enterprise-level software systems
• Proven experience building full stack Java applications
• Working knowledge of AI/ML concepts, including model integration and applied AI solutions
• Experience with troubleshooting and unit testing across both new development and legacy systems
• Demonstrated ability to diagnose and resolve complex technical issues
• Strong problem-solving skills and attention to detail