GCP AI Engineer

GCP AI Engineer at Lorven Technologies Inc. GCP AI Engineer at Lorven Technologies Inc. in Fort Worth, Texas Posted in about 6 hours ago.

Type:

full-time

Job Description:

Hi, Our client is looking for a GCP AI Engineer in Irving, TX / Charlotte, NC Below is the detailed requirement .

Title:

GCP AI Engine er

Location:

Irving, TX /

Charlotte, NCRequired Skills:

GCP, LLM, Generative AI, and Java/ Pyth on Job descripti on:

Bachelor's degree in computer science, Information Technology, or a related fi eld

AI Agent Development:

Design, build, and deploy autonomous AI agents capable of reasoning, planning, and executing complex workflo ws.

LLM Integration:

Integrate cutting-edge Large Language Models (LLMs) into our core products and services to enhance functionality and user experien ce.

Model Context Protocol (MCP)

Implementation:

Utilize the Model Context Protocol (MCP) to securely connect our AI models to various data sources, tools, and development environmen ts.

Automated Code Generation:

Leverage AI and LLMs to build systems that assist in, or fully automate, code generation, testing, and optimization process es.

System Engineering:

Write clean, scalable, and maintainable code in both Java and Python to support AI backend infrastructu re.

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 solutio ns.

Cross-Functional Collaboration:

Work closely with product managers, data scientists, and frontend engineers to translate business requirements into technical AI solutio ns.

Programming Languages:

Strong proficiency in both Java and Python, with a proven track record of building production-grade softwa re.

Google AI Tools:

Hands-on experience with Google ADK (or equivalent Google Cloud AI/Vertex AI tool s).

LLM Expertise:

Deep comfort level and practical experience working with Large Language Models (prompt engineering, fine-tuning, RAG architecture s).

Agentic Workflows:

Demonstrable experience in building and orchestrating AI Agents (using frameworks like LangChain, LangGraph, or custom implementation s).

MCP Knowledge:

Familiarity and practical experience with the Model Context Protocol (MCP) for standardizing AI interactions with external too ls.

Code Generation:

Experience in leveraging AI tools or building pipelines specifically for code generation and software automati on.

Experience with modern robust backend frameworks (e.g., Spring Boot for Java, FastAPI for Pytho n).Familiarity with containerization and orchestration (Docker, Kubernete s).Experience with vector databases (e.g., Pinecone, Weaviate, Milvu s).