GCP AI Engineer

Must-Have Qualifications:

· Programming Languages: Strong proficiency in both Java and Python , with a proven track record of building production-grade software.

· Google AI Tools: Hands-on experience with Google ADK (or equivalent Google Cloud AI/Vertex AI tools).

· LLM Expertise: Deep comfort level and practical experience working with Large Language Models (prompt engineering, fine-tuning, RAG architectures).

· Agentic Workflows: Demonstrable experience in building and orchestrating AI Agents (using frameworks like LangChain, LangGraph, or custom implementations).

· MCP Knowledge: Familiarity and practical experience with the Model Context Protocol (MCP) for standardizing AI interactions with external tools.

· Code Generation: Experience in leveraging AI tools or building pipelines specifically for code generation and software automation