Job ID: JOB_ID_8535
Job Overview:
We are seeking a highly skilled AI Engineer with expertise in Artificial Intelligence (AI) coding, particularly in Large Language Models (LLM) and Retrieval-Augmented Generation (RAG) technologies. This role requires critical experience in healthcare payer policies, credentialing, and payer enrollment processes. The ideal candidate will have a strong background in healthcare payer systems and AI development. The role may involve a blend of AI-focused development and credentialing/payer enrollment expertise.
Key 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 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.
Employment Details:
- Location: Remote
- Duration: 6 Months
- Employment Type: C2C / W2
Additional Information:
The role requires old LinkedIn profiles with photos and DL. This is an exciting opportunity to work on cutting-edge AI technologies within the healthcare domain. For more details, please visit https://jobs.nvoids.com.
Special Requirements
Need Old LinkedIn with Photo and DL. MOI: Skype.
Compensation & Location
Salary: $70 – $90 per year (Estimated)
Location: Remote
Recruiter / Company – Contact Information
Recruiter / Employer: Adventa Tech Inc
Email: ram.parida@adventatech.com
Recruiter Notice:
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