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Strong Tier-1 brand, mid-level technical role, and broad full-stack+AI skillset increase candidate competition.
Healthcare PHI/regulatory requirements and domain knowledge limit cross-industry transferability.
Multiple mandatory skills across AI, full-stack, cloud, DevOps, and regulated PHI compliance.
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Develop, deploy, and maintain scalable AI-powered enterprise applications and backend services supporting AI/ML use cases, including LLM workflows and RAG pipelines.
Ensure high standards of software quality, security, compliance (especially handling PHI/PII), and cloud deployment using CI/CD pipelines.
Collaborate with cross-functional teams to translate business needs into technical solutions and contribute to architectural decisions, mentoring junior engineers.
Experience in full-stack software development involving frontend (React, Angular, or similar) and backend (Node.js, Python, Java, or similar) technologies.
Proven hands-on experience with AI/ML or LLM-based solutions including prompt engineering, retrieval-augmented generation (RAG), and AI agents.
Experience deploying AI solutions in production including DevOps, CI/CD, and cloud platforms (Azure, AWS, or GCP).
Work Experience Required: Not explicitly mentioned in the JD.
Experienced consultant or engineer comfortable operating in fast-paced, product delivery environments with a focus on AI systems for healthcare.
Strong familiarity with AI operationalization including LLM ops, model evaluation, prompt tuning, and compliance in regulated environments handling PHI/PII.
Technically versatile with demonstrated ability to build end-to-end AI-enabled applications using modern software engineering best practices and cloud infrastructure.