Gen AI Engineer

Job Title: Gen AI Engineer Job Location: Remote Job Type – Contract (Long Term) Job Description 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. Skills: - Mandatory skills • 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 Good-to-Have Skills • 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. -Thanks & regards Akram Khan