MLE - GEAP Integration & GCP Specialist

Role

Senior ML Engineer – GEAP & GCP Specialist

Experience Level

4+ Years

Role Overview

We are looking for a Senior Machine Learning Engineer with 4+ years of experience to build and integrate enterprise AI agents using the Gemini Enterprise Agent Platform (GEAP) on Google Cloud Platform (GCP). You will focus on connecting GEAP agents with enterprise systems, managing multi-agent workflows, and deploying secure, production-ready agent solutions on GCP.

Key Responsibilities

- GEAP Agent Integration: Build, deploy, and manage AI agents using the Gemini Enterprise Agent Platform (GEAP) and Agent Development Kit (ADK).
- GCP Infrastructure: Deploy and run agent workflows using core GCP services (Vertex AI, Cloud Run, BigQuery, and GCP IAM).
- Enterprise Integration: Connect GEAP agents with internal tools,



databases, REST/gRPC APIs, and enterprise data using protocols like MCP (Model Context Protocol).
- State & Memory Management: Manage multi-turn conversations, context memory, and session state for GEAP agents.
- Monitoring & Operations: Set up basic AgentOps on GCP, including agent logging, trace monitoring, and deployment pipelines.

Skills Breakdown Must-Have Skills

- Experience: 4+ years in AI/ML.
- Gemini Enterprise Agent Platform: Hands-on experience with GEAP, Google ADK, and MCP (Model Context Protocol).
- GCP (Mandatory): Direct experience with GCP services, specifically Vertex AI and Cloud Run

📌 Senior Machine Learning Engineer (Bengaluru)
🏢 Quantiphi
📍 Bengaluru