Principal AI Engineer

Stack

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Descrição

Job Description: The Principal AI Engineer provides technical leadership in the design, development, training, orchestration, and operationalization of enterprise AI systems. This role defines strategy and technical standards across traditional AI/ML models, large language models, model training and fine-tuning, data and retrieval systems, and agentic AI architectures. The Principal AI Engineer remains deeply hands-on while partnering across product and platform teams to build scalable, reliable, secure, and high-quality AI capabilities. Essential Job Functions and Responsibilities Define and own technical strategy across enterprise AI systems, spanning traditional AI/ML models, large language models, model training and fine-tuning, retrieval, orchestration, and agentic AI. Design, train, fine-tune, evaluate, and optimize traditional AI/ML models and large language models using parameter-efficient techniques (e.g., QLoRA, LoRA, PEFT) and full fine-tuning where warranted. Design orchestration and abstraction layers that connect LLMs to enterprise tools, data, APIs, and specialized sub-agents while decoupling product teams from underlying models and providers. Design, build, and operate MCP (Model Context Protocol) servers and establish standards for how AI tools and capabilities are defined, exposed, versioned, and consumed. Design and optimize retrieval (RAG) systems, including chunking strategies, embedding models, vector stores, hybrid/keyword search, re-ranking, and contex

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