AI Engineer – Mid-level

🕒 January 22

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 48%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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EY

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1989

🏥 Healthcare

⚖️ Legal

📣 Marketing

Healthcare • Legal • Marketing

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 (RAG) pipelines for querying complex knowledge bases • Integration of language models (LLMs) with APIs and legacy systems of banks and insurance companies • Optimization of token consumption 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

• Bachelor's degree in Technology, Statistics, Mathematics, or related fields • Python • FastAPI • Pydantic • LangChain • LlamaIndex • LangGraph • CrewAI • PyTorch/TensorFlow • Vector databases (Pinecone, FAISS, Milvus, ChromaDB) • Experience with LLMs and strong knowledge of RAG architectures • Professional experience in technology companies, development life cycles, and agile methodologies (Agile/Scrum) • Knowledge of MLOps/LLMOps and LGPD applied to AI (differentials) • Certifications (desired): Cloud (e.g., Azure AI Engineer) and Deep Learning

🏖️ Benefits

• Visit go.ey.com/beneficios to explore our range of benefits • Develop future-oriented skills and gain world-class experiences • At EY, we will empower you in a flexible environment • We will amplify your extraordinary talents within a diverse and inclusive culture