AI Fullstack Engineer(Healthcare Claims)

AI Full Stack Engineer Remote, US • Healthcare Domain Expertise; Understanding of healthcare payer and/or provider operations (e.g., claims, utilization management, care delivery, revenue cycle) • Build end-to-end products that use AI, UI through API • Frontend: React / Angular; Backend: Java / .NET / Node.js • APIs, microservices, databases and cloud services • DevOps, CI/CD and AI/LLM integration in production apps • 5+ yrs full stack; cloud-native delivery You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: • Bachelor's degree in Computer Science, Engineering, Data Science, or related field • 3+ years of proficient experience in at least one programming language (e.g., Python, Java, SQL) • 2+ years of experience operating in a consulting or advisory capacity, including structuring ambiguous problems, developing solution recommendations, and delivering against client or business objectives • Demonstrated experience working in client-facing engagements, including partnering directly with stakeholders to understand needs, communicate solutions, and support delivery in real-world environments • Experience working with APIs, data pipelines, or distributed systems • Familiarity with cloud platforms (e.g., AWS, Azure, or Google Cloud Platform) • Exposure to AI/ML concepts, including LLMs and prompt engineering • Demonstrate advanced user capability on CodeX, Claude, etc. and other AI productivity tools • Demonstrated ability to work effectively in client-facing delivery environments • Demonstrated solid collaboration skills and ability to operate within structured project teams • Demonstrated clear communication skills for working with both technical and non-technical stakeholders • Demonstrated ability to execute against defined requirements and evolving priorities Preferred Qualifications: • Master's degree in a technical discipline (AI/ML, Data Science, Software Engineering) • Healthcare Domain Expertise; Understanding of healthcare payer and/or provider operations (e.g., claims, utilization management, care delivery, revenue cycle) • Familiarity with healthcare data considerations (e.g., privacy, compliance) • Demonstrated solid execution focus with attention to detail and code quality • Demonstrated ability to work in fast-paced environments with multiple priorities • Willingness to take ownership of assigned components and deliver reliably • Continuous learning mindset, particularly in AI and emerging technologies