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