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Generalist AI title, production LLM skills, and broad responsibilities increase applicant competition moderately.
Healthcare data controls and clinical evaluation increase domain specificity, though ML skills remain transferable.
Requires shipped LLM features, production Python, Bedrock/OpenAI experience, and strict clinical data controls.
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Own and develop the AI plug-in runtime and registry layer for multi-tenant Hospital Management Information System, including event subscriptions and hospital-specific controls.
Build and maintain the LLM gateway managing model routing, prompt/version management, cost/token controls, data redaction, and audit logging for every request.
Develop and deploy three primary AI plug-ins (Discharge Summary Assistant, Clinical Scribe, Coding Assist) and the automated evaluation harness ensuring quality through acceptance metrics and dashboards.
Proficient in Python with experience building and operating production AI services beyond notebooks.
Practical experience with LLM application patterns such as prompt design, structured output, retrieval-augmented generation, function calling, streaming, and evaluation.
Has shipped at least one LLM feature to real users including quality measurement and iteration.
Experience with Amazon Bedrock or Anthropic/OpenAI API in production environments.
Experienced in deploying LLM-based features with a focus on measurable quality control and compliance in sensitive domains like healthcare.
Comfortable balancing model complexity and cost efficiency through pragmatic solutions, favoring simpler models/prompts when effective.
Capable of collaborating with clinical advisors and cross-functional teams, bridging Python backend and optionally TypeScript frontend components.