Hybrid Senior AI Engineer presso Lyric

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. 

This role is Hybrid in our HYD office 3 days a week

The Sr. AI Engineer is an ML engineer who will drive 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 have to manage a small team in India for AI engineers.

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 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.

Required Qualifications:

· 8+ years of experience in AI/ML engineering

· 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).

Preferred Qualifications:

· Experience implementing retrieval-augmented generation (RAG), prompt engineering, or fine-tuning foundation models

· Familiarity with vector databases (e.g., Postgres-pg-vector, Pinecone, FAISS, Weaviate) and semantic search

· Strong experience shipping production ML systems with a track record of monitoring and improving the ML systems

· Experience working in regulated domains such as healthcare, legal, or finance.