About the job 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 setting. 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.

Required Skills

['Huggingface Generative AI LLMs', 'Langchain', 'Llama-Index', 'Huggingface RAGs', 'ChatGPT', 'Hugging Face', 'LangChain', 'LlamaIndex', 'Transformers', 'VectorDB']

Additional Information

Senior AI and DevOps Engineer (Remote |UK Timezone)

📌 Generative AI Engineer (LLMs & RAG) – Healthcare SaaS (Kolkata Metropolitan Area)
🏢 HuntingCube
📍 Kolkata Metropolitan Area