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Develop and implement AI and GenAI-based microservices and APIs leveraging frameworks such as LangChain, LlamaIndex, or Semantic Kernel.
Develop and integrate LLM-based solutions (OpenAI, Anthropic, Mistral, Azure OpenAI, etc.) for real-world enterprise use cases.
Build and maintain RAG (Retrieval-Augmented Generation) pipelines i...
About the Role
The opportunity
As an AI Engineer, part of our EY-DET-FS team, you will be responsible for developing and implementing AI-powered solutions and GenAI applications. You will work hands-on with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) frameworks, and cloud-native AI tools to deliver intelligent, scalable, and secure enterprise solutions.
You’ll collaborate closely with AI Architects, Cloud Engineers, and Product Owners to build and deploy next-generation AI services that transform business processes and enhance user experiences.
Your Technical Responsibilities
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