Experience:

• At least 3 years of industry experience
• Experience with recent Gen AI technologies
• Experience with containerization
• Experience with Kubernetes
• Experience with cloud-native ML technologies such as Kubeflow
• Experience with CI/CD pipelines
• Experience with automated testing
• High level of proficiency with Python and several ML frameworks

Qualification:

• BS in Computer Science
• BS in Engineering
• BS in Statistics
• BS in a related field

Responsibilities:

• Design and optimize systems for processing large volumes of data in batch and real-time
• Design, implement, and optimize RAG systems at scale
• Develop and refine embedding models, vector databases, and retrieval mechanisms
• Create evaluation frameworks to measure quality and improve LLM-based solutions using user feedback and performance metrics
• Build and optimize machine learning models and verifiable ML systems for medical and insurance data
• Build and optimize production-ready scalable systems
• Build and optimize agentic systems that can reason and make decisions
• Develop machine learning models in healthcare and insurance settings with high standards for safety and quality
• Stay current on AI and ML security and governance requirements

Nice to have:

• Experience with medical coding and clinical policy analysis
• Exposure to USA healthcare insurance
• Strong understanding of clinical coding standards such as ICD-10, CPT, and HCPCS

More skills:

LLM technologies, retrieval mechanisms, evaluation frameworks, verifiable ML systems, agentic systems, ML frameworks, containerization, CI/CD pipelines, data engineering, batch processing, real-time processing, AI security, AI governance

Other:

• Full time
• Posted Today
• job requisition id JR884
• Lyric is an AI-first, platform-based healthcare technology company focused on simplifying the business of care by preventing inaccurate payments and reducing waste in the healthcare ecosystem
• Lyric was formerly ClaimsXten
• Market leader with 35 years of pre-pay editing expertise
• Recognized as 2025 Best in KLAS for Pre-Payment Accuracy and Integrity
• HI-TRUST certified
• SOC2 certified
• Recipient of the 2025 CandE Award for Candidate Experience