Job ID: JOB_ID_6987
Job Opportunity: Sr. AI Engineer (Remote)
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. 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.
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.
Educational Qualifications:
- Engineering Degree (BE/ME/BTech/MTech/BSc/MSc).
- Technical certification in multiple technologies is desirable.
Location:
Remote
Years of Experience:
10+
Special Requirements
Healthcare payer systems, AI development, LLM, RAG, payer policies, credentialing, payer enrollment processes.
Compensation & Location
Salary: $1 – $1 per year (Estimated)
Location: Remote
Recruiter / Company – Contact Information
Email: lavi.tiwari@talentola.com
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