Generative AI Engineer (LLMs & RAG) – Healthcare SaaS (Clone)

Overview

Generative AI Engineer (LLMs & RAG) – Healthcare SaaS

Location: Remote / Hyderabad
Experience: 5+ years
Employment Type: Full-time
Domain: Generative AI, Healthcare, SaaS

About the Role

We are looking for a hands-on Generative AI Engineer with deep expertise in LLMs and Retrieval-Augmented Generation (RAG).

In this role, you'll design and deliver production-grade AI systems that combine unstructured and structured healthcare data to power a next-generation clinical assistant. You will be working at the forefront of Generative AI innovation in healthcare—building safe, scalable, and high-impact solutions that influence real-world patient outcomes.

What You’ll Do

• Architect and optimize RAG pipelines (ingestion, embeddings, retrieval, grounding, generation).
• Experiment with LLMs — LLaMA, Mistral, Falcon, plus OpenAI & Anthropic APIs.
• Implement evaluation & monitoring: retrieval precision, grounding accuracy, hallucination checks, latency, safety.
• Work with diverse healthcare datasets — PDFs, EHR/EMR data, CSVs, structured knowledge bases.
• Deploy cloud-native AI services (AWS / GCP / Azure) with observability & security.
• Collaborate with product, clinicians, DevOps, and QA to ship production features.

Must-Have Skills

• 5+ years in software/ML engineering with strong Python skills.
• Proven experience building LLM-powered applications & RAG systems.
• Strong understanding: embeddings, transformers, prompt engineering, NLP techniques.
• Experience with vector DBs: FAISS, Pinecone, Qdrant, Weaviate, Milvus.
• Familiar with LangChain, LLMOps, ML deployment workflows.
• Cloud + containerization experience (Docker/Kubernetes).

Nice to Have

• Healthcare or healthtech experience; understanding of HIPAA.
• Knowledge of agent frameworks: LangGraph, AutoGen, CrewAI.
• Familiarity with clinical ontologies (SNOMED CT, ICD, UMLS).
• Contributions to open-source AI/ML projects.
• Experience building real-time AI SaaS systems.
• Exposure to multimodal retrieval (structured + unstructured + images).

Soft Skills

• Bias for action; fast prototyping with reliability in mind.
• Clear communication & strong documentation habits.
• Able to work independently in a fast-moving startup environment.
• Comfortable with flexible hours for global standups.

What We Offer

• Opportunity to shape one of the first LLM-powered healthcare copilots at scale.
• Ownership, autonomy, and a high-impact environment.
• Direct mentorship from senior AI researchers and clinicians.
• Opportunity to publish AI/healthcare content.
• Remote-friendly with optional Hyderabad base.
• Competitive salary + performance bonuses.