Generative ai engineer

Generative AI Engineer (LLMs & RAG) – Healthcare Saa SLocation: Remote / Hyderabad (preferred)Experience: 5+ yearsEmployment Type: Full-timeDomain: Generative AI, Healthcare, Saa SAbout 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 (LLa MA, Mistral, Falcon) and API-based models (Open AI, 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, Dev Ops, 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 Lang Chain, 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 (Lang Graph, Auto Gen, Crew AI).• 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 Saa S 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.