About eMedicalPractice
eMedicalPractice, based in Delray Beach, Florida, is a healthcare-technology company delivering enterprise solutions since 2008. Our platform powers EHR, Practice Management, RCM, Telemedicine, Clearinghouse, and Patient Engagement systems used by practices across the U.S.
We’re now expanding our R&D team in India to build next-generation AI automation that simplifies clinical documentation, enhances revenue-cycle efficiency, and improves patient outreach using LLMs and Voice AI.
Role Overview
We’re seeking a hands-on AI Architect to design and lead scalable AI solutions that combine large-language models, retrieval-augmented generation (RAG), and speech AI.
The ideal candidate can bridge deep technical skills with healthcare domain awareness, driving end-to-end architecture—from data ingestion and model integration to deployment and monitoring.
Location : Onsite – Hyderabad / Mangalagiri
Experience : 8 + years (4 + years in AI or ML architecture)
Type : Full-time | Immediate joiners preferred
Responsibilities
- Architect and implement AI micro-services for text, speech, and document automation.
- Design LLM / RAG pipelines using LangChain / LlamaIndex / OpenAI / Azure AI.
- Integrate speech AI (ASR / TTS) for voice agents and virtual assistants.
- Oversee data pipelines and model deployment with Python, FastAPI, Docker, and Redis.
- Establish AI security and governance best practices aligned to HIPAA.
- Collaborate with backend (.NET / Node) and DevOps teams for production integration.
- Mentor AI engineers and review technical designs for scalability and compliance.
Required Skills
Proven AI system architecture experience (LLM apps / RAG / speech AI).Strong Python and FastAPI development skills.Familiar with LangChain, LlamaIndex, vector DBs (FAISS / Pinecone / Chroma).Experience with cloud platforms (Azure / AWS / GCP) and container deployments.Understanding of healthcare data (EDI / FHIR / HL7) and HIPAA privacy principles.Preferred
Prior experience in healthcare AI, RCM automation, or clinical data processing.Exposure to speech technologies (Whisper, Azure Speech, GPT-4 Realtime).MLOps / CI-CD experience for AI services.Why Join Us
Build AI systems impacting real clinics across the U.S.Work with a small, high-impact team pioneering AI in EHR and RCM.Opportunity to architect from scratch and see your work go live in production.