Generative AI Engineer

3 days ago

Delhi, India Ekshvaku Tech Innovations Full time

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.

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