Lorven Technologies, Inc.
Lorven Technologies, Inc.

Google Cloud Platform AI Engineer

Irving, TX, US • Posted 3 hours ago • Updated 3 hours ago
Contract Independent
Contract W2
Contract Corp To Corp
2 Years
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

  • GCP AI Engineer

Summary

HI
 
Our client is looking for a Google Cloud Platform AI Engineer in Irving, TX / Charlotte. Below is the detailed requirement.
 
Job positing
 
Title: Google Cloud Platform AI Engineer
Location: Irving, TX / Charlotte
 
Required Skills: Google Cloud Platform, LLM​​​​, Generative AI​​, and Java/ Python
 
Job description:
  • Bachelor’s degree in computer science, Information Technology, or a related field
  • AI Agent Development: Design, build, and deploy autonomous AI agents capable of reasoning, planning, and executing complex workflows.
  • LLM Integration: Integrate cutting-edge Large Language Models (LLMs) into our core products and services to enhance functionality and user experience.
  • Model Context Protocol (MCP) Implementation: Utilize the Model Context Protocol (MCP) to securely connect our AI models to various data sources, tools, and development environments.
  • Automated Code Generation: Leverage AI and LLMs to build systems that assist in, or fully automate, code generation, testing, and optimization processes.
  • System Engineering: Write clean, scalable, and maintainable code in both Java and Python to support AI backend infrastructure.
  • Google Ecosystem Integration: Utilize Google ADK (AI Developer Kits) and related Google Cloud AI services (e.g., Vertex AI, Gemini APIs) to deploy robust AI solutions.
  • Cross-Functional Collaboration: Work closely with product managers, data scientists, and frontend engineers to translate business requirements into technical AI solutions.
  • Programming Languages: Strong proficiency in both Java and Python, with a proven track record of building production-grade software.
  • Google AI Tools: Hands-on experience with Google ADK (or equivalent Google Cloud AI/Vertex AI tools).
  • LLM Expertise: Deep comfort level and practical experience working with Large Language Models (prompt engineering, fine-tuning, RAG architectures).
  • Agentic Workflows: Demonstrable experience in building and orchestrating AI Agents (using frameworks like LangChain, LangGraph, or custom implementations).
  • MCP Knowledge: Familiarity and practical experience with the Model Context Protocol (MCP) for standardizing AI interactions with external tools.
  • Code Generation: Experience in leveraging AI tools or building pipelines specifically for code generation and software automation.
  • Experience with modern robust backend frameworks (e.g., Spring Boot for Java, FastAPI for Python).
  • Familiarity with containerization and orchestration (Docker, Kubernetes).
  • Experience with vector databases (e.g., Pinecone, Weaviate, Milvus).
     
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10120137
  • Position Id: 69100-10367-
  • Posted 3 hours ago
Create job alert
Set job alertNever miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Google Cloud Platform AI Engineer

Irving, Texas

•

Today

Easy Apply

Contract, Third Party

Depends on Experience

Google Cloud Platform AI Engineer

Irving, Texas

•

Today

Easy Apply

Contract, Third Party

Depends on Experience

AI Engineer

Irving, Texas

•

Today

Easy Apply

Third Party, Contract

50 - 55

Google Cloud Platform Architect – GenAI & Enterprise

Dallas, Texas

•

Today

Easy Apply

Third Party, Contract

75 - 80

Search all similar jobs