Middle/Senior Google Cloud / Agentic AI Engineer

OpportuLand; United Kingdom; Remote; GBP 19,000 - 31,000; Full time

Job summary

OpportuLand is seeking a Middle/Senior Google Cloud / Agentic AI Engineer to design and deploy AI agents on Google Cloud. This remote, full-time role focuses on production-grade agentic AI solutions within enterprise contexts, leveraging Gemini Enterprise / ZenAI Factory frameworks.

You will work with Vertex AI ADK, Agent Engine, BigQuery data foundations, and IaC to deliver scalable agents. Strong English communication and collaboration with client engineers are essential.

Qualifications

• Commercial software engineering experience at Middle+ / Senior level.
• Hands-on experience building and deploying AI agents to production on Google Cloud.
• Experience with Vertex AI ADK and Agent Engine.
• Practical understanding of MCP servers and A2A.
• Experience with authentication and guardrails for agentic AI solutions.
• Experience with BigQuery in the context of AI / agent reasoning.
• Hands-on experience with Cloud Run, GKE, Pub/Sub, and Cloud Operations.
• Experience with Infrastructure as Code.
• Good written and spoken English.
• Ability to communicate clearly and work directly with the client's engineering team.

Responsibilities

• Design and build production-ready AI agents on Google Cloud.
• Work with Vertex AI ADK to develop agentic AI solutions.
• Deploy agents using Agent Engine.
• Integrate client systems through MCP servers and A2A, with proper authentication and guardrails.
• Build data foundations in BigQuery to support agent reasoning.
• Work with infrastructure based on Cloud Run, GKE, Pub/Sub, and Cloud Operations.
• Use Infrastructure as Code (IaC).
• Collaborate directly with the client's engineering teams in a forward-deployed working model.

Skills

Production experience

English communication

Cloud AI deployments

IaC

Guardrails for AI

Tools

Vertex AI ADK

Agent Engine

MCP servers

A2A

BigQuery

Cloud Run

GKE

Pub/Sub

Cloud Operations

Job description

Middle/Senior Google Cloud / Agentic AI Engineer

Location: Remote | English: B2+ | Level: Middle/Senior | Format: Full-time, Outstaff | Compensation: up to $30/hour gross

About the Project

We are looking for a Middle/Senior Google Cloud / Agentic AI Engineer to work on our client's project focused on Agentic AI solutions on Google Cloud for enterprise clients. The team works within the Gemini Enterprise / ZenAI Factory framework and is looking for an engineer with hands-on experience building and deploying AI agents to production on Google Cloud. This role is for someone who has not only a theoretical understanding of the technologies but also practical experience working with real-world AI solutions and taking them to production.

What You’ll Do

• Design and build production-ready AI agents on Google Cloud.
• Work with Vertex AI ADK to develop agentic AI solutions.
• Deploy agents using Agent Engine.
• Integrate client systems through MCP servers and A2A, with proper authentication and guardrails.
• Build data foundations in BigQuery to support agent reasoning.
• Work with infrastructure based on Cloud Run, GKE, Pub/Sub, and Cloud Operations.
• Use Infrastructure as Code (IaC).
• Collaborate directly with the client's engineering teams in a forward-deployed working model.

What We're Looking For

• Commercial software engineering experience at Middle+ / Senior level.
• Hands-on experience building and deploying AI agents to production on Google Cloud.
• Experience with Vertex AI ADK and Agent Engine.
• Practical understanding of MCP servers and A2A.
• Experience with authentication and guardrails for agentic AI solutions.
• Experience with BigQuery in the context of AI / agent reasoning.
• Hands-on experience with Cloud Run, GKE, Pub/Sub, and Cloud Operations.
• Experience with Infrastructure as Code.
• Good written and spoken English.
• Ability to communicate clearly and work directly with the client's engineering team.

What's Important for This Role

The key requirement for this position is real production experience with Agentic AI on Google Cloud. We are looking for someone who has already built and deployed AI agents in real-world projects, rather than only working with tutorials or demo projects. The role involves direct collaboration with the client's engineering team, so strong communication skills and the ability to clearly discuss technical topics in English are important.

Hiring Process

At the first stage, we collect CVs and submit them to the client for an initial review. If your CV is approved, we will contact you to schedule a meeting with the client, where you will receive more details about the project and the next steps in the hiring process.