AI/LLM Lead

3 weeks ago


Pune, India Geektrust.com Full time

Description :- Lead architecture, design, and implementation of LLM-based and agentic AI systems for clinical and operational use cases.- Oversee the development of multi-agent orchestration frameworks (reasoning, planning, and task execution) using tools such as LangGraph, CrewAI, or Semantic Kernel.- Build scalable RAG pipelines and retrieval systems using vector databases (Pinecone, FAISS, Weaviate, Vertex AI Matching Engine).- Guide engineers on prompt design, model evaluation, multi-step orchestration, and hallucination control.- Collaborate with product managers, data engineers, and designers to align AI architecture with business goals.- Manage end-to-end AI lifecycle data ingestion, fine-tuning, evaluation, deployment, and monitoring on Vertex AI / AWS Bedrock / Azure OpenAI.- Lead scrum ceremonies, sprint planning, and backlog prioritization for the AI team.- Work directly with external stakeholders and customer teams to understand requirements, gather feedback, and translate insights into scalable AI solutions.- Ensure compliance with HIPAA, PHI safety, and responsible AI governance practices.- Contribute to hiring, mentoring, and upskilling the AI engineering teamMust-Have Skills :- Deep expertise in LLMs, RAG, and Agentic AI architectures, including multi agent planning and task orchestration.- Hands-on experience with LangChain, LangGraph, CrewAI, or Semantic Kernel.- Strong proficiency in Python, cloud-native systems, and microservice-based deployments.- Proven track record of leading AI projects from concept to production, including performance optimization and monitoring.- Experience working with healthcare data models (FHIR, HL7, clinical notes) or similar regulated domains.- Experience leading agile/scrum teams, with strong sprint planning and delivery discipline.- Excellent communication and collaboration skills for customer-facing discussions, technical presentations, and cross-team coordination.- Deep understanding of prompt engineering, LLM evaluation, and hallucination mitigation.General Skills :- Strong leadership, mentorship, and people management abilities.- Excellent written and verbal communication for both technical and non-technical audiences.- Ability to balance technical depth with product priorities and delivery timelines.- Adaptability to fast-changing AI technologies and ability to evaluate new tools pragmatically.- A bias toward ownership and proactive problem-solving in ambiguous situations.- Empathy for end-users and a commitment to responsible AI in healthcare.Good to Have :- Experience leading AI platform initiatives or building internal AI tooling.- Exposure to MLOps, continuous evaluation pipelines, and observability tools for LLM systems.- Knowledge of multi-modal AI (text + structured + image data).- Prior experience integrating AI into production SaaS platforms or healthcare systems. (ref:hirist.tech)


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