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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and deploy production-grade AI and LLM-powered features within a global healthcare intelligence platform.
Improve AI model performance, reliability, observability, and cost efficiency at enterprise scale while ensuring compliance with security and privacy standards.
Partner with global engineering, data, and product teams to translate business needs into scalable, secure AI solutions and advance AI platform architecture.
Minimum Requirements
5+ years of experience building and deploying AI/ML systems in production environments.
Proficiency in Python and hands-on experience with LLM integration, prompt engineering, and model performance optimization.
Experience working in cloud environments (AWS preferred) with strong understanding of data architecture and scalable backend systems.
Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Ideal Candidate Profile
Experienced in production AI systems where reliability, uptime, compliance, and data privacy are critical in enterprise or healthcare contexts.
Skilled in cross-functional collaboration with product and engineering teams in a product-driven environment rather than purely research-focused.
Balances innovation with practical considerations like product stability, cost management, and measurable business impact in global, distributed teams.