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 solutions Design scalable LLM pipelines and Graph/RAG architectures Implement AWS cloud-native solutions using EKS, Lambda, and Fargate Optimize performance through Gen AI experimentation and continuous learning Own delivery, milestones, reliability, governance, and DevSecOps adherence Requirements:
Eight-plus years total engineering experience Six-plus years progressive engineering experience One to two years leading AI or emerging technology initiatives Proficiency with GPT, Claude, Gemini, LLaMA, and prompt engineering Bachelor’s or Master’s degree in a related field Apply advanced Python, AWS, and Generative AI expertise to deliver scalable architectures, products, and enterprise solutions.