Generative AI Engineer

Role
: AI Engineer

Location:
Remote

What is in it for you?

We are seeking a highly skilled Developer with strong expertise in Artificial Intelligence (AI) coding, particularly in Large Language Models (LLM) and Retrieval-Augmented Generation (RAG) technologies. The ideal candidate will have critical experience in payer policies, credentialing, and payer enrollment processes. Candidates with domain experience in healthcare payer systems and AI development are preferred. The role may be split between AI-focused development and credentialing/payer enrollment expertise depending on candidate strengths.

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.

Experience: -

· 10+ Years

Location: -

·
Remote

Educational Qualifications: -

• Engineering Degree – BE/ME/BTech/MTech/BSc/MSc.
• Technical certification in multiple technologies is desirable.

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.