EY
10,000+ employees
Founded 1989
💸 Finance
Finance • Consulting • Technology
EY is a global professional services firm, widely recognized for providing audit, tax, consulting, and advisory services. It focuses on helping its clients solve complex problems and transform their businesses using data and technology. EY is committed to building a better working world by enhancing trust in financial markets and economies globally. Its services include corporate finance advisory, transaction strategy, technology consulting, and more, catering to sectors such as health, energy, finance, government, and more. EY also emphasizes sustainability and innovation in its solutions.
AI Engineer – Junior, Mid-level
🕒 January 23
🗣️🇧🇷🇵🇹 Portuguese Required
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EY
10,000+ employees
Founded 1989
💸 Finance
Finance • Consulting • Technology
EY is a global professional services firm, widely recognized for providing audit, tax, consulting, and advisory services. It focuses on helping its clients solve complex problems and transform their businesses using data and technology. EY is committed to building a better working world by enhancing trust in financial markets and economies globally. Its services include corporate finance advisory, transaction strategy, technology consulting, and more, catering to sectors such as health, energy, finance, government, and more. EY also emphasizes sustainability and innovation in its solutions.
📋 Description
• Development and optimization of generative AI pipelines (RAG) for querying complex knowledge bases • Integration of language models (LLMs) with APIs and legacy systems for banks and insurers • Optimization of token usage and reduction of model response latency • Collaboration with development teams to validate accuracy and mitigate model hallucinations • Implementation of security, validation, and content-filtering layers (guardrails)
🎯 Requirements
• Education: Bachelor's degree in Technology, Statistics, Mathematics, or related fields • Technologies: Python, FastAPI, Pydantic, LangChain, LlamaIndex, LangGraph, CrewAI, PyTorch/TensorFlow, vector databases (Pinecone, FAISS, Milvus, ChromaDB) • Mandatory requirements: Experience with LLMs and strong knowledge of RAG architectures • Professional experience: Experience working in technology companies, development cycles, and agile methodologies (Agile/Scrum) • Nice-to-haves: Knowledge of MLOps/LLMOps and LGPD (Brazilian Data Protection Law) applied to AI • Certifications (desirable): Cloud (e.g., Azure AI Engineer) and Deep Learning
🏖️ Benefits
• Visit go.ey.com/benefits to explore our range of benefits.
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