Senior AI Engineer

Lyric, formerly ClaimsXten, is a leading healthcare technology company, committed to simplifying the business of care. Over 30 years of experience, dedicated teams, and top technology help deliver more than $14 billion of annual savings to our many loyal and valued customers—including 9 of the top 10 payers across the country. Lyric’s solutions leverage the power of machine learning, AI, and predictive analytics to empower health plan payers with pathways to increased accuracy and efficiency, while maximizing value and savings. Lyric’s strong relationships as a trusted ally to customers resulted in recognition from KLAS as “true partner” and “excellent value for investment,” with a top score for overall customer satisfaction and A+ likelihood to recommend in their October 2023 Payment Integrity and Accuracy Report. Discover more at Lyric.ai.

Position: Sr. AI Engineer (Hybrid – Hyderabad Office)

Schedule: 3 days a week onsite

The Sr. AI Engineer is a Machine Learning (ML) engineer responsible for driving the development of intelligent systems that extract and structure data from unstructured documents such as PDFs, scanned forms, and free-text content. This role will lead the design and deployment of advanced machine learning and generative AI solutions, with a particular emphasis on language models (SLM/LLMs) and their application to document understanding and data extraction at scale. In addition, you will manage a small team of AI engineers based in India.

Note: This is not a research role.

Job Responsibilities

• Lead the architecture, development, and deployment of AI/ML systems for document ingestion, understanding, and data extraction.
• Build and curate high-quality datasets, and develop robust validation and verification systems for data and ML models.
• Build and fine-tune LLMs and generative AI models to interpret, summarize, and extract information from complex unstructured content.
• Develop NLP pipelines using 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 standards.
• Mentor a team of AI/ML engineers; establish best practices in model training, evaluation, and monitoring.
• Stay up to date with advancements in generative AI and apply cutting-edge techniques to real-world document challenges.
  
  

Required Qualifications

• 8+ years of experience in AI/ML engineering with proven technical leadership in the space.
• Hands-on experience building and deploying S/LLMs or generative AI applications using frameworks like LLaMA, DeepSeek, or similar.
• Demonstrated success in extracting structured data from unstructured sources such as scanned forms, free-text documents, and complex layouts.
• Strong proficiency in Python and ML frameworks like Kubeflow, PyTorch, or multi-agentic frameworks.
• Experience using OCR tools such as Tesseract or Amazon Textract, and deploying models in production.
• Deep knowledge of NLP techniques including embeddings, transformers, named entity recognition (NER), and text classification.
• Familiarity with MLOps, version control, CI/CD pipelines, and cloud platforms like AWS, GCP, or Azure.
  
  

Preferred Qualifications

• Experience implementing retrieval-augmented generation (RAG), prompt engineering, or fine-tuning foundation models.
• Familiarity with vector databases such as Postgres-pgvector, Pinecone, FAISS, or Weaviate for semantic search.
• Strong background in deploying, monitoring, and improving ML systems in production environments.
• Experience working in regulated industries like healthcare, legal, or finance.