Bachelor's degree in Computer Science, or a related technical field, or equivalent practical experience.
Experience building generative AI applications, intelligent agents, or LLM-powered solutions, and working directly with technical customers.
Ability to communicate in English fluently to support client relationship management.
Preferred qualifications:
Experience building and orchestrating agents using Agent Development Kits (ADKs) or popular frameworks (e.g., LangChain, LlamaIndex, AutoGen).
Experience implementing Retrieval-Augmented Generation (RAG) architectures and securely connecting LLMs with external productivity tools (e.g., Google Workspace) and internal databases.
Experience in leveraging LLMs to deploy multimodal solutions encompassing text, image, video, and voice.
Experience deploying, configuring, and managing enterprise-grade generative AI platforms, particularly Gemini Enterprise, with an understanding of security, governance, and compliance requirements.
Knowledge of cloud computing, including serverless execution environments, virtualization, hosted services, multi-tenant cloud infrastructures, and secure cloud networking.