Lighthouse Technology Services is partnering with our client to fill their Senior Java Developer (ML & AI) position! This is a 6-12 months contract and will be hybrid in Charlotte, NC. This role will be a W2 employee of Lighthouse Technology Services. No C2C or subcontracting arrangements will be considered.
What You'll Be Doing:
Lead business requirement gathering sessions and translate business needs into technical solutions for in-house payroll and workforce management applications
Design and coordinate development efforts with offshore development teams, ensuring alignment on architecture, implementation, and delivery timelines
Build and integrate AI-driven solutions and machine learning models into enterprise Java applications to enhance payroll processing, staffing solutions, and workforce analytics
Develop and implement AI-powered features including intelligent search, predictive analytics, recommendations, and chatbots using Generative AI, LLMs, and AI APIs
Design and maintain robust, scalable backend services using Java 21 and Spring Boot 3.3, focusing on RESTful APIs and microservices architecture
Collaborate with Data Scientists and ML Engineers to deploy, monitor, and optimize AI/ML models within production environments
Build responsive front-end interfaces using Angular, ensuring seamless user experience and cross-browser compatibility
Participate in CI/CD pipeline management and cloud deployments using Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP)
Optimize database performance and design schemas for both relational (MySQL, PostgreSQL) and NoSQL (MongoDB) databases
Debug and resolve complex technical issues across the full stack while maintaining high code quality standards
What You'll Need to Have:
8+ years of professional experience as a Full Stack Java Developer, with recent project work in payroll systems, staffing solutions, or workforce management applications
Strong expertise in Java 21 and Spring Boot 3.3, with proven ability to build enterprise-grade applications
2+ years of hands-on experience with machine learning integration and demonstrated proficiency with AI tools and frameworks
Solid front-end development skills using Angular, HTML5, CSS3, and JavaScript/TypeScript
Proven experience integrating AI/ML models, Generative AI, and LLMs into business applications
Strong understanding of RESTful API design, microservices architecture, and cloud platform deployment (AWS, Azure, or GCP)
Experience with CI/CD pipelines, Docker, and containerization technologies
Proficiency with both SQL and NoSQL databases, including query optimization and schema design