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Tier-1 brand, mid-level AI role, metro location, and broad fullstack cloud skillset increase candidate competition.
Core AI, cloud, and web skills are transferable, though enterprise healthcare compliance increases domain specificity.
Explicit 5+ years plus 3+ years AI experience and mandatory cloud, ML, and web skills enforce strict filtering.
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Design, build, and iterate AI-based conversational applications and web interfaces on modern cloud platforms (Azure/AWS) using C#, Node.js, Python, React, or Angular.
Develop and maintain automation platforms and integrate AI/ML/NLP services for scalability, performance, security, and compliance.
Collaborate cross-functionally to deliver end-to-end AI applications that streamline workflows, enable insights, and improve patient outcomes.
5+ years of software development experience.
3+ years working in AI/Chatbot/Generative AI ecosystem with relevant tools and frameworks.
Proficiency with C#, Node.js, Python, React/Angular, and cloud AI/ML/NLP services on Azure or AWS.
Bachelor’s degree or equivalent in Computer Engineering, Computer Science, or related field.
Experienced in designing and deploying scalable AI applications on cloud platforms with integration and security best practices.
Strong background in AI-driven conversational interfaces and web application development.
Skilled at collaborating across product, design, engineering, and scientific teams to translate user needs into reliable, user-centered solutions.