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