Generative AI Engineer (LLMs & RAG) – Healthcare SaaS

Generative AI Engineer (LLMs & RAG) – Healthcare SaaSLocation: Remote / Hyderabad (preferred)Experience: 5+ yearsEmployment Type: Full-timeDomain: Generative AI, Healthcare, SaaSAbout the RoleWe are looking for a hands-on Generative AI Engineer with expertise in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). In this role, you will architect and deliver production-grade AI systems that combine unstructured and structured healthcare data to power a next-generation clinical assistant.You will work at the cutting edge of Generative AI and healthcare innovation, helping design safe, scalable, and impactful solutions that directly influence real-world patient outcomes. This is a chance to take ownership of core AI systems in a fast-moving, high-impact product.Key Responsibilities • Architect and optimize RAG pipelines – ingestion, embedding, retrieval, grounding, and generation. • Experiment with LLMs – open-weight models (LLaMA, Mistral, Falcon) and API-based models (OpenAI, Anthropic). • Implement evaluation & monitoring frameworks (retrieval precision, grounding accuracy, hallucination checks, latency, safety). • Work with diverse healthcare datasets – PDFs, EHR/EMR data, CSVs, structured knowledge bases. • Deploy AI services to cloud-native environments (AWS, GCP, or Azure) with observability and security in mind. • Collaborate cross-functionally with product, clinicians, DevOps, and QA to ship production-ready features.Must-Have Skills • 5+ years of experience in software/ML engineering with strong Python skills (backend + API development). • Proven expertise building LLM-powered applications and RAG pipelines. • Strong understanding of embeddings, transformers, prompt engineering/orchestration, and NLP techniques. • Hands-on experience with vector databases (FAISS, Pinecone, Qdrant, Weaviate, Milvus). • Familiarity with LangChain, LLMOps, and ML deployment workflows. • Experience with containerized deployments (Docker/Kubernetes) and cloud platforms. • Exposure to both open-weight LLMs and hosted APIs.Nice to Have • Experience in healthcare/healthtech; knowledge of HIPAA-compliant systems. • Familiarity with autonomous agent frameworks (LangGraph, AutoGen, CrewAI). • Understanding of clinical NLP ontologies (SNOMED CT, ICD, UMLS). • Contributions to open-source AI/ML projects or published proofs-of-concept. • Experience building real-time SaaS applications powered by AI. • Exposure to multimodal retrieval (structured + unstructured data, including medical images).Soft Skills & Expectations • Bias for action: eager to prototype fast while caring about reliability in a healthcare context. • Clear communicator who documents clean code and shares progress proactively. • Comfortable working independently in an ambiguous, fast-paced startup environment. • Flexible for early/late standups with global teams.What We Offer • Opportunity to shape one of the first LLM-powered healthcare copilots at scale. • Autonomy, trust, and ownership in a results-driven team. • Direct mentorship from senior AI researchers and clinicians. • Chance to publish technical blogs or papers on healthcare AI. • Flexible remote setup with a Hyderabad base. • Competitive salary with performance bonuses. 

Apply Now