Lead AI Engineer

🕒 August 12, 2025

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Lyric - Clarity in motion.

WebsiteLinkedInAll Job Openings

201 - 500 employees

⚕️ Healthcare Insurance

💳 Fintech

☁️ SaaS

Healthcare Insurance • Fintech • SaaS

Lyric is a leading healthcare technology company focused on payment integrity and accuracy solutions. With over 30 years of experience, Lyric aims to simplify the business of care by leveraging machine learning and predictive analytics to empower health plan payers. The company provides a range of solutions, including Lyric 42 Platform, Pre-Pay Editing, Diagnostics Module, Coordination of Benefits, Concept Libraries, and LyricIQ, which combines AI-powered payment accuracy services. Additionally, Lyric focuses on transparency and responsibility in technology development, ensuring enhanced payment accuracy, administrative efficiencies, and reduced provider abrasion. As a trusted partner in the healthcare industry, Lyric continues to deliver cutting-edge technologies at the crossroads of healthcare and fintech, supporting health plans and providers in the shift to value-based care.

📋 Description

• Lead the architecture, development, and deployment of AI/ML systems for document ingestion, understanding, and data extraction. • Build and create good datasets and a system of good validation and verifications of data and ML systems. • Build and fine-tune LLMs and generative AI models to interpret, summarize, and extract information from complex unstructured content. • Develop NLP pipelines leveraging techniques such as OCR, entity recognition, text classification, summarization, and semantic parsing. • Integrate LLMs with retrieval systems (RAG), vector databases, and structured outputs suitable for downstream consumption. • Collaborate cross-functionally to align technical solutions with product requirements and compliance needs. • Mentor a team of AI/ML engineers, establish best practices in model training, evaluation, and monitoring. • Stay abreast of the latest advancements in generative AI and apply cutting-edge techniques to real-world document challenges.

🎯 Requirements

• Minimum of seven (7) years of experience in AI/ML engineering, with at least three (3) years in a technical or team leadership role • Previous Technical Leadership in the AI/ML leadership space • Hands-on experience building and deploying S/LLMs or generative AI applications (e.g., using Llama, Deepseek or similar frameworks) • Proven track record of extracting structured data from unstructured document sources, including scanned forms, free-text reports, and complex layouts • Strong software engineering skills in Python and ML frameworks (e.g., Kubeflow, PyTorch, multi-agentic frameworks) • Experience with OCR technologies (e.g., Tesseract, Amazon Textract), NLP techniques, and model deployment in production environments • Deep understanding of NLP methods including embeddings, transformers, named entity recognition (NER), and text classification • Familiarity with MLOps, version control, CI/CD, and cloud platforms (AWS, GCP, or Azure)