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Gemini Enterprise Developer

Gemini, Inc.
United States
1 day ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Business Analytics Applications Data Analysis Microsoft Azure Business Systems Meta-Data Management Software Engineering Google Cloud Chatbots Large Language Models
+4 more
Multi-Agent Systems Generative AI Virtual Agents Looker Analytics

Job description

  • Design and develop conversational AI agents and agentic workflows using Gemini Enterprise.
  • Expose, manage, and govern the Looker Semantic Layer for AI consumption.
  • Integrate enterprise data sources, APIs, and business systems with AI agents.
  • Establish AI guardrails, security controls, governance, monitoring, and performance standards.
  • Define operating models, adoption KPIs, and user enablement strategies.

Requirements

  • 5+ years of experience in software development, data/analytics, or AI solution delivery.
  • Hands-on experience with Generative AI, LLMs, conversational AI, and agent frameworks.
  • Google Gemini Enterprise, Vertex AI, Agent Development Kit (ADK).
  • Looker / LookML and semantic layer implementation.
  • RAG, Agentic AI architectures, vector databases, and AI observability.
  • Experience with semantic modeling, metadata management, and analytics platforms.
  • Proficiency in cloud platforms (Google Cloud Platform preferred, Azure/AWS acceptable).

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

4:04 min

Building practical AI agents using Google Gemini

Philipp Schmid Philipp Schmid · World Congress 2025

1:00 min

Introduction to chatbot infrastructure and cloud challenges

Stan Girard Stan Girard · World Congress 2024

6:10 min

Unlocking free learning credits via Google Cloud Innovators

Asrar Asrar · World Congress 2024

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · World Congress 2023

4:30 min

Demonstrating a knowledge graph powered chatbot interface

Tomaz Bratanic · World Congress 2023

2:44 min

Understanding the differences between Gemma and Gemini models

Videos

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The Cloud is Calling: Answer with In-Demand Skills thumbnail
21:23
World Congress 2024 • about 2 years ago

The Cloud is Calling: Answer with In-Demand Skills

Asrar

Data Science in Retail thumbnail
58:21
LIVE • over 3 years ago

Data Science in Retail

Julian Joseph

Chatbots are going to destroy infrastructures and your cloud bills thumbnail
21:21
World Congress 2024 • about 2 years ago

Chatbots are going to destroy infrastructures and your cloud bills

Stan Girard

Exploring Google Gemini and Generative AI thumbnail
38:19
over 1 year ago

Exploring Google Gemini and Generative AI

Testing AI Agents: Automated Evaluation for Chatbots & RAG Systems thumbnail
30:34
World Congress 2026 Europe • about 2 months ago

Testing AI Agents: Automated Evaluation for Chatbots & RAG Systems

Sebastian Messingfeld

Cloud Run- the rise of serverless and containerization thumbnail
43:34
LIVE • over 5 years ago

Cloud Run- the rise of serverless and containerization

Marton Kodok

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