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Mid-level, hybrid, known brand, broad fullstack+GenAI+DevOps skillset increases candidate competition.
Core GenAI and fullstack skills transfer, but healthcare compliance and production-support experience raise domain specificity.
Multiple explicit years requirements plus mandatory production support and DevOps experience enforce strict screening.
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Design, implement, and deploy scalable AI solutions focusing on privacy, security, and fairness.
Lead full-stack development including production support, code reviews, and proactive monitoring of AI platforms leveraging LLMs and Gen AI capabilities.
Collaborate with business partners and IT teams to translate system requirements into effective solutions within Agile methodology.
6-8 years of professional experience with at least 3 years in production support for full-stack applications, preferably in AI domain.
Minimum 2 years experience in DevOps, including containerization (Docker, Kubernetes/OpenShift) and CI/CD pipeline knowledge.
Proficiency in front-end (Angular, React, HTML/CSS/JavaScript) and back-end technologies (Python, Node.js, RESTful APIs).
Degree in Computer Science, Artificial Intelligence, or related field; location primarily Hyderabad, India with flexible remote work.
Experienced technologist with deep full-stack and production support expertise in AI or Gen AI environments.
Demonstrated ability working in Agile, cross-functional teams interfacing between business stakeholders and technical teams.
Comfortable with cloud platforms (AWS, Azure), DevOps practices, and healthcare industry familiarity including related compliance (HIPAA) is advantageous.