
Gen AI Engineer
Role summary
We are seeking a skilled Gen AI Engineer with extensive experience in leading Large Language Models (LLMs) and a deep understanding of Retrieval-Augmented Generation (RAG) pipelines. The role involves building, tuning, and deploying LLM-based applications using platforms like Vertex AI and Hugging Face. You will develop robust prompt engineering strategies, implement use cases with agentic frameworks, and ensure the safety and performance of GenAI features using tools like Guardrails. This is a critical role for advancing our generative AI capabilities.
Generative AI & LLM Expertise:
Extensive hands-on experience with leading LLMs such as Google Gemini, OpenAI models, Anthropic Claude, Mistral, Llama, and various other open-source LLMs.
Critical: Deep working knowledge and hands-on experience with Retrieval-Augmented Generation (RAG) pipelines, including advanced RAG techniques and their detailed implementation.
Proven ability to build, tune, and deploy LLM-based applications using platforms like Vertex AI, Hugging Face, etc.
Expertise in developing robust prompt engineering strategies, prompt tuning, and creating reusable prompt templates.
Hands-on experience with agentic framework-based use case implementation.
Working knowledge of Guardrails and methodologies for assessing the performance and safety of GenAI features.
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