Company: RapidClaims

LinkedIn: Visit LinkedIn

Business Type: Startup

Company Type: Product

Business Model: B2B

Funding Stage: Series A

Industry: Healthcare

Salary Range: ₹ 30-50 Lacs PA

Job Description

RapidClaims is a leader in AI-driven revenue cycle management, transforming how US healthcare providers run mid- and end-revenue cycle operations — from medical coding and charge capture through claim scrubbing, denials management, appeals, and payment posting.

The company has raised $11 million in total funding from top investors, including Accel

and Together Fund.

Join us as we scale a cloud-native platform that runs self-hosted, fine-tuned Large Language Models, knowledge graphs, and embedding-based retrieval over millions of clinical notes, claims, and payer-policy documents every month. You’ll engineer autonomous pipelines that parse clinical records and translate into codes, provide documentation improvement parameters, and even solve for denials with autonomous calling if needed; Tackle the





deep-domain challenges that make clinical and RCM AI one of the most rewarding problems in tech.

Senior AI/ML Engineer- Job Overview

We are hiring a Senior AI/ML Engineer to own the end-to-end applied LLM, retrieval, and evaluation layer of our healthcare AI platform. You will build production systems that automate mid- and end-revenue cycle workflows for US healthcare spanning coding, claim edits, denials triage, appeal generation, and payer-rule reasoning.

This is a production engineering role (not research) focused on building scalable,

auditable, and cost-efficient LLM systems in a regulated healthcare setting

What You’ll Own

Self-Hosted LLM Infrastructure
Deploy, fine-tune, and operate open-source models (Llama, Qwen, MedGemma, and successors) as our primary inference stack
Work with vLLM / SGLang / TensorRT-LLM for serving at scale, with disciplined

attention to throughput, tail latency, batching, KV-cache, and GPU economics

Own fine-tuning wor

📌 Senior AI/ML Engineer (Bengaluru)
🏢 Sourcingxpress
📍 Bengaluru