AI Engineer: Vertex AI & Agentic Systems (Central Europe)

Zoolatech

Central (LA)

On-site

USD 140,000 - 190,000

Full time

9 days ago
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Job summary

Zoolatech seeks an experienced AI Engineer to own the solution from discovery through deployment. You will compare Google Cloud-based approaches with the existing platform, build an MVP, and present results to stakeholders.

The role requires hands-on Vertex AI, Gemini, and Python expertise to implement end-to-end AI solutions independently. Training for clients and engineers on capabilities and responsible usage is included.

Qualifications

  • 8+ years of hands-on software, cloud, and solution-engineering experience.
  • Recent practical experience building and deploying AI and agentic solutions.
  • Strong Python skills and the ability to implement an end-to-end solution independently.
  • Hands-on experience with Vertex AI, Gemini, and Google Cloud.
  • Experience with agentic workflows and AI tooling such as Google ADK, LangGraph, LangChain, or similar frameworks.
  • Experience with MCP, function calling, and connecting AI agents to external tools and data.
  • Understanding of RAG, model evaluation, AI security, observability, and cost management.
  • Experience delivering an AI solution from discovery through a working MVP or production deployment.
  • Strong cross-functional collaboration and facilitation skills, including aligning engineering and business stakeholders, defining success criteria, and driving delivery milestones.
  • Excellent presentation and communication skills, including demonstrating technical solutions and creating clear training and enablement materials.
  • Strong English for direct collaboration, presentations, and training with client stakeholders.

Responsibilities

  • Own the AI MVP discovery, architecture, implementation, deployment, and evaluation.
  • Build end-to-end Vertex AI-based solution and agentic workflows.
  • Integrate AI agents with internal data, APIs, and tools.
  • Define success criteria with stakeholders and guide MVP milestones.
  • Present results and train stakeholders on AI capabilities and responsible usage.

Skills

Python
Vertex AI
Google Cloud
Agentic workflows
English communication
Cross-functional collaboration
Presentation skills
TypeScript

Tools

LangGraph
LangChain
Google ADK
Gemini
APIs
MCP

Job description

Zoolatech seeks an experienced AI Engineer to own the solution from discovery through deployment. You will compare Google Cloud-based approaches with the existing platform, build an MVP, and present results to stakeholders.

The role requires hands-on Vertex AI, Gemini, and Python expertise to implement end-to-end AI solutions independently. Training for clients and engineers on capabilities and responsible usage is included.

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