About the Role

Our client is seeking a
Senior AI/ML Engineer
to build and operate production-grade Large Language Model (LLM) systems, knowledge graphs, and embedding-based retrieval pipelines for healthcare revenue cycle management. The ideal candidate will have hands-on experience deploying self-hosted LLMs, designing embedding and graph-based retrieval, and building evaluation and monitoring pipelines. This role offers full ownership of applied LLM infrastructure in a regulated healthcare workplace, solving complex domain-specific problems spanning coding, claim edits, denials triage, appeal generation, and payer-rule reasoning.

Key Responsibilities
- Deploy, fine-tune, and operate self-hosted LLMs such as Llama, Qwen, MedGemma, using vLLM, SGLang, TensorRT-LLM.
- Own fine-tuning workflows (SFT, LoRA, QLoRA, DPO) on clinical notes, claims, and payer-rule data.
- Optimize GPU usage, latency, batching, and cost for production LLM inference.
- Design, maintain, and leverage knowledge graphs encoding ICD-10-CM, CPT, HCPCS, modifiers, HCC, NCCI edits, LCD/NCD policies,



and payer rules.
- Build embedding-based retrieval pipelines over clinical notes, claims, denial reasons, and payer-policy corpora.
- Combine graph traversal and dense retrieval to ensure auditable, grounded outputs.
- Maintain ingestion, versioning, and quality of underlying knowledge sources (CMS, AHA, AMA, NCCI, payer bulletins).
- Build continuous evaluation pipelines with offline benchmarks and online monitoring for drift, regressions, hallucinations, and output quality.
- Track business metrics: coding accuracy, denial rate impact, clean-claim rate, cost per chart, end-to-end latency.
- Design LLM prompts, context pipelines, structured outputs (JSON, function calls, constrained decoding).
- Implement Retrieval-Augmented Generation (RAG) pipelines over medical coding standards and payer policies.
- Build MCP servers and multi-step agentic workflows with audit trails and human-in-the-loop checkp

📌 Senior AI/ML Engineer (Bengaluru)
🏢 YMinds.AI
📍 Bengaluru