AI Engineer: LLMs, Agents & Google AI - Remote

Robotic Process Automation LLC; Irving (TX); Remote; USD 86,000 - 123,000; Full time

Job summary

Robotic Technologies Automation in Irving, TX is seeking an innovative AI Engineer to design, build, and deploy autonomous AI agents, integrate LLMs, and drive automated code generation initiatives. Strong Java and Python skills and hands-on experience with Google's AI tools are required.

You will implement MCP to securely connect AI models to data sources, work with product managers and data scientists, and build scalable backend services using Java and Python, with Google Cloud AI services

Qualifications

• Proficient in Java and Python with production-grade software experience.
• Hands-on experience with Google AI tools and services.
• Experience with LLMs, prompt engineering and RAG architectures.
• Knowledge of designing AI agents and orchestration frameworks.

Responsibilities

• Design, build, and deploy autonomous AI agents capable of reasoning and executing workflows.
• Integrate Large Language Models into core products and services.
• Implement MCP to securely connect AI models to data sources and tools.
• Develop and optimize code generation and AI-powered automation pipelines.
• Write scalable backend code in Java and Python for AI infrastructure.
• Leverage Google Cloud AI services (Vertex AI, Gemini APIs) for deployment.
• Collaborate with product managers, data scientists, and frontend engineers.

Skills

Java

Python

Google AI Tools

LLM integration

Agentic workflows

MCP knowledge

Code generation

Tools

Google ADK

Vertex AI

Kubernetes

Job description

Robotic Technologies Automation in Irving, TX is seeking an innovative AI Engineer to design, build, and deploy autonomous AI agents, integrate LLMs, and drive automated code generation initiatives. Strong Java and Python skills and hands-on experience with Google's AI tools are required.

You will implement MCP to securely connect AI models to data sources, work with product managers and data scientists, and build scalable backend services using Java and Python, with Google Cloud AI services