Develop and deploy Generative AI solutions for clinical, Utilization Management, Care Management
Build Agentic AI systems that autonomously execute multi-step tasks across healthcare operations (e.g., Prior Auth, eligibility checks ).
Collaborate with cross-functional teams to integrate AI solutions into existing healthcare platforms and workflows.
Design and implement APIs, microservices, and cloud-native components to support AI agents.
Optimize performance, scalability, and reliability of AI-driven applications.
Ensure compliance with healthcare regulations (HIPAA, HITECH) and data privacy standards.
Stay current with advancements in LLMs, agent frameworks (LangChain, AutoGen, Copilot Studio), and healthcare tech.
Required Skills & Qualifications :
4 -10+ years of software development experience, with strong proficiency in Python, .NET, or Java.
Hands-on experience with LLMs, transformers, and prompt engineering.
Experience with agentic frameworks (e.g., LangChain, AutoGPT, Microsoft Copilot Studio).
Strong understanding of REST APIs, microservices architecture, and cloud platforms (Azure, AWS, GCP).
Familiarity with healthcare data formats and standards : FHIR, HL7, EDI, ICD / CPT codes.
Experience integrating with healthcare systems (e.g., Guiding Care)
Strong problem-solving skills and ability to work in agile environments.
(ref : hirist.tech)
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Artificial Intelligence Engineer • Baroda
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