Gen AI Engineer

Vaiticka Solution is seeking a Gen AI Engineer to design and implement AI-driven solutions in the healthcare sector. The role involves collaborating with teams to enhance payer policy automation and maintaining AI models related to healthcare payer systems.

Responsibilities:

• Design, Develop, implement, and optimize AI-driven solutions leveraging LLM and RAG technologies to enhance payer policy automation and decision-making
• Collaborate with cross-functional teams to design and build scalable applications supporting payer credentialing and enrollment workflows
• Analyze payer policies and translate complex business rules into technical solutions
• Maintain and improve existing AI models and integrations related to healthcare payer systems
• Support data ingestion, processing, and retrieval mechanisms to enable efficient AI model training and inference
• Work closely with domain experts to ensure compliance with healthcare regulations and payer requirements
• Participate in code reviews, testing, and deployment activities to ensure high-quality deliverables
• Document technical designs, workflows, and best practices related to AI and credentialing systems

Requirements:

• Proven experience in AI coding and development, specifically with Large Language Models (LLM) and Retrieval-Augmented Generation (RAG)
• Strong understanding of healthcare payer policies, credentialing, and payer enrollment processes
• Hands-on experience with AI/ML frameworks, natural language processing (NLP), and related technologies
• Proficiency in programming languages such as Python, Java, or similar
• Experience of working with healthcare data standards and compliance requirements
• Ability to work independently and collaboratively in a fast-paced environment
• Excellent problem-solving skills and attention to detail
• Strong communication skills to interact effectively with technical and non-technical stakeholders
• Prior experience in healthcare payer systems
• Familiarity with cloud platforms (AWS, Azure, GCP) and AI service integrations
• Knowledge of software development lifecycle (SDLC) and Agile methodologies
• Experience with data engineering and ETL processes related to AI model training
• Candidates with combined skills in both AI and credentialing will be highly valued