Artificial Intelligence Engineer
2 weeks ago
Description
Key Responsibilities :
- 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.
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