Java Developer

Design, develop, and maintain scalable full-stack applications across UI, services, and data layers. Integrate AI capabilities into applications to improve automation, decision-making, and user experience. Collaborate with cross-functional teams to deliver end-to-end solutions and drive innovation. Leverage AI tools to accelerate development, testing, and troubleshooting workflows. Ensure high-quality code through best practices, testing, and performance optimization. Preferred Experience / Domain Expertise

8+ years of full-stack development experience (Java/Node.js, React/Angular, REST APIs). Strong proficiency in backend development (Java/Spring Boot or Node.js) and frontend frameworks (React/Angular). Hands-on experience with databases (SQL/NoSQL MongoDB, PostgreSQL). Cloud platform experience (Azure/AWS) and microservices architecture. Working knowledge of AI/ML integration (APIs, LLMs, prompt engineering, AI-assisted workflows). Proficiency with AI tools (e.g., GitHub Copilot, M365 Copilot) and applying them in SDLC. Strong problem-solving, debugging, and system design skills. Experience with CI/CD pipelines, DevOps, and automated testing. Strong communication and collaboration mindset. Preferred Skills & Attributes: 5 8+ years of experience in enterprise-scale applications. Experience building AI-powered applications (chatbots, recommendation systems, automation tools). Knowledge of GenAI frameworks (Azure OpenAI, LangChain, vector DBs). Experience with data engineering / analytics pipelines. Exposure to agentic AI systems or intelligent automation. Familiarity with healthcare domain or regulated environments (HIPAA, compliance). Experience leading or mentoring teams. Strong focus on user-centric design and performance optimization. FACETS experience is a plus., Prior experience in healthcare, insurance, or enterprise SaaS platforms. Experience working in Agile product teams delivering large-scale distributed systems. Background in data-driven applications and analytics platforms. Demonstrated experience leveraging AI to improve engineering productivity and business outcomes. Exposure to digital transformation or modernization initiatives.