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Mid-level AI role, metro Hyderabad, generalist title, and reputable employer increase competition.
Core ML/LLM engineering skills are transferable, though healthcare domain experience moderately increases specialization.
Explicit 5+ years and mandatory LLM, vector DB, and agentic-AI expertise make filters highly strict.
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Develop and deploy scalable AI agentic systems and fine-tuned large language models to advance healthcare intelligence and decision-making.
Create and integrate multi-agent workflows using modern agentic AI frameworks, managing retrieval-augmented generation pipelines with vector databases to enhance reasoning.
Provide technical leadership by mentoring, owning design trade-offs, and collaborating cross-functionally to build reliable AI solutions at scale.
Bachelor's or Master's degree in Computer Science, AI, or related technical field.
Minimum 5 years industry experience in building and deploying scalable machine learning systems.
Proficiency in Python, cloud platforms (Azure, AWS, GCP), and modern development workflows (CI/CD, Git).
Experience with agentic AI frameworks (e.g., LangGraph, AutoGen), vector databases (FAISS, Pinecone, etc.), and LLM fine-tuning techniques (LoRA, PEFT, TRL).
Senior-level AI engineer with expertise at the intersection of applied agentic AI, machine learning, and software engineering.
Strong background in model optimization, evaluation metrics, and continuous improvement in healthcare or complex data domains.
Experience working in collaborative, fast-paced environments translating experimental AI models into production-quality, scalable systems.