AI Engineer – Junior, Mid-level
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Job Description
AI Engineer developing and optimizing generative AI pipelines for financial services. Collaborating with development teams on model integration and optimization at EY.
Responsibilities:
- 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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