Generative AI Engineer

Infodat is looking for an AI engineer to work with their health domain client in Houston, TX. This is an onsite role.Please review and revert with your resume if the role looks a fit.Responsibilities:

• Design, prototype, and deploy Generative AI applications using techniques such as Retrieval-Augmented Generation (RAG), prompt engineering, fine-tuning, and vector search ·
• Build and maintain Python-based APIs and software components to support AI services and ensure scalable, production-grade solutions ·
• Develop multi-step, agentic workflows for reasoning, task execution, and orchestration using frameworks such as LangChain, LangGraph, and LlamaIndex ·
• Integrate AI capabilities into healthcare and pharmacy services workflows, including case management, program operations, analytics, and internal knowledge systems ·
• Deploy, monitor, and optimize GenAI models and pipelines using cloud-native tooling, orchestration frameworks, and MLOps best practices ·
• Contribute to the AI platform and reference architecture across cloud environments, including Microsoft Azure and Google Cloud Platform (GCP) ·
• Collaborate with cross-functional teams to ensure AI solutions meet security, privacy, and compliance requirements (e.g., HIPAA, PHI handling, responsible AI principles) ·
• Document designs, patterns, and best practices to support enterprise reuse and long-term platform sustainability

Do you have experience in Python?