AI Agent Developer

An entry-level AI Agent Developer role for someone with genuine curiosity about agentic AI, contributing to real enterprise-grade Gemini deployments from week one.

What you'll do

• Assist in developing and testing AI agents on the Gemini Enterprise Agentic Platform
• Implement prompt templates, tool definitions, and function calling integrations
• Support RAG pipeline development: chunking, embedding, and vector store integration
• Write Python code for agent workflows using LangChain, LangGraph, or Google ADK
• Write unit tests, debug agent outputs, and maintain evaluation scripts

Requirements

• 0-2 years software development experience exposure to AI/ML is a strong plus
• Solid Python skills - able to write clean, readable code independently
• Basic understanding of how LLMs work and how to call APIs (Gemini, OpenAI, etc.)
• Familiarity with REST APIs and JSON
• Genuine curiosity and drive to learn Gemini Enterprise, Vertex AI, and agentic AI

Nice to have: Any hands-on project with LangChain, LangGraph, or agent frameworks GCP exposure vector search concepts Jupyter/Pandas/NumPy

Tech stack: Gemini Enterprise . Vertex AI . Python . LangChain . LangGraph . Google ADK . BigQuery . GCP . Vertex AI Vector Search . REST APIs . Git