Java Developer

Required Skills & Attributes:
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.

Primary Responsibilities:
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:
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.