AI Engineer

MLOps

Retrieval-Augmented Generation (RAG)

JD

• 8-10 years of relevant experience in Apps Development or systems analysis role
• Core AI/ML Foundations:
• Strong foundational knowledge in GenAI , Machine Learning (ML modeling), Data Science, Statistics, and AI fundamentals, including Natural Language Processing (NLP), Neural Networks, and Large Language Models (LLMs).
• 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 ...