Build scalable Generative AI products with Python, React, and AWS tools while leading architecture across cloud-native solutions.This AI Engineer role leads development within an Agile setting. You will create LLM pipelines, Agentic AI, MCP, and Graph/RAG architectures. The work spans Gen AI frameworks, AWS services, prompt engineering, and enterprise delivery.Key Responsibilities:
Lead development of AI products, pilots, and technical solutionsDesign scalable LLM pipelines and Graph/RAG architecturesImplement AWS cloud-native solutions using EKS, Lambda, and FargateOptimize performance through Gen AI experimentation and continuous learningOwn delivery, milestones, reliability, governance, and DevSecOps adherenceRequirements:
Eight-plus years total engineering experienceSix-plus years progressive engineering experienceOne to two years leading AI or emerging technology initiativesProficiency with GPT, Claude, Gemini, LLaMA, and prompt engineeringBachelor’s or Master’s degree in a related fieldApply advanced Python, AWS, and Generative AI expertise to deliver scalable architectures, products, and enterprise solutions.
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