Data Engineer developing advanced AI solutions at EY for clients and internal innovation. Involves cutting-edge technologies and continuous learning opportunities.
Responsibilities
As an AI Engineer, you will be part of an innovation team that delivers impact both internally and for our clients.
You will help develop solutions that create new business models and deliver significant impact for our clients.
You will have access to cutting-edge equipment across a range of technologies.
You will have the opportunity to learn new technologies and experiment with emerging technologies (with a focus on Artificial Intelligence).
Requirements
Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or a related field;
Experience with Python;
Hands-on experience with Generative AI (GenAI);
Experience with the following libraries: LangChain, FastAPI, LlamaIndex, crewAI, LangGraph;
Experience with RAGs (Retrieval-Augmented Generation): vector databases, chunking, embeddings, semantic and hybrid search;
Experience building multi-agent solutions, including orchestration, roles, tools, memory, and MCP and A2A architectures;
Knowledge of Cloud (Azure) — Containers, Functions, Cosmos DB, Azure AI Search, Azure OpenAI, CI/CD (GitHub Actions);
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