Cloud AI Engineer

• 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.