Simplifying the business of care.
Staff AI Engineer
Location
United States
Posted
10 days ago
Salary
$216.4K - $324.6K / year
Seniority
Lead
Job Description
Staff AI Engineer
Lyric - Clarity in motion.
• Architect and drive the strategic vision for AI/ML platforms that power document ingestion, understanding, and extraction across multiple product teams and use cases. • Establish organization-wide frameworks and standards for dataset quality, ML validation methodologies, and model verification processes that ensure healthcare-grade safety and compliance. • Define core ML infrastructure for LLM operations, including model serving platforms, fine-tuning pipelines, and generative AI systems that enable teams to build reliable document understanding applications at scale. • Lead the technical architecture for production capabilities. • Build and optimize the core RAG infrastructure, vector database architecture, and LLM integration patterns that enable efficient retrieval and structured output generation for downstream systems. • Drive cross-functional technical strategy, partnering with product, clinical, and engineering leadership to align multi-quarter ML roadmaps with business requirements and regulatory compliance. • Mentor junior/mid AI/ML engineers across distributed teams, establish best practices for model training, evaluation, and monitoring, and define ML engineering standards that scale across the organization. • Stay abreast of the latest advancements in generative AI and lead technical evaluation and adoption of cutting-edge techniques that provide measurable business value.
Job Requirements
- Minimum of ten (10) 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).
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