AI Engineer

We are seeking a highly skilled AI Engineer to design, develop, and deploy Decision Intelligence and AI-enabled products.

The ideal candidate will have strong expertise in Python/PySpark, Java, UI development, and knowledge graph technologies such as Neo4j.

Experience implementing Graph

RAG in production AI/ML solutions and deploying to public cloud platforms (preferably Azure) is essential.

This role involves working in cross-functional Agile teams and contributing to the full product lifecycle.

Key Responsibilities

• Collaborate with product teams to design and deploy AI-enabled solutions across healthcare operations.
• Develop scalable AI/ML architectures and pipelines using Python/PySpark and Java.
• Implement and optimize knowledge graphs (e.g., Neo4j) and Graph
  
  RAG to enhance LLM responses.
• Deploy AI/ML solutions to public cloud platforms (preferably Azure).
• Rapidly prototype and iterate on AI/ML models and applications.
• Guide architecture, infrastructure, and tooling for AI/ML product development.
• Ensure compliance with healthcare standards including HIPAA.
• Communicate effectively with stakeholders and contribute to product discovery and delivery.
• Mentor junior engineers and promote best practices in software development and MLOps.

• Expert-level programming skills in Python/PySpark and Java.
• Hands-on experience implementing knowledge graphs (preferably Neo4j) in production.
• Experience deploying Graph
  
  RAG in AI/ML products to improve LLM performance.
• Strong understanding of public cloud platforms (preferably Azure).
• Experience with containerization, Dev Sec Ops , and scalable deployment practices.
• Proficiency in working with semi-structured data and No
  
  SQL databases.
• Strong understanding of API design and production deployment.
• Excellent problem-solving, analytical, and communication skills.

• Contributions to open-source AI/ML projects.
• Experience in the healthcare industry.
• Knowledge of medical terminology and clinical workflows.

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