Remote AI Engineer: LLMs, Agents & Code Gen

Quantum Technologies LLC; Irving (TX); Hybrid; USD 90,000 - 120,000; Full time

Job summary

Quantum Technologies. LLC in Irving, TX seeks an AI Engineer to bridge software and AI, designing and deploying autonomous agents, integrating LLMs, and advancing automated code generation.

The role requires strong Java and Python, hands-on Google AI tools, MCP, LangChain, and experience with production-grade systems in cloud environments. Remote option available; duration 24 months with extension.

Qualifications

• Proficiency in Java and Python for production-grade software.
• Hands-on experience with Google AI tools (ADK).
• Experience with Large Language Models, prompt engineering, and RAG architectures.

Responsibilities

• AI Agent Development: Design, build, and deploy autonomous AI agents capable of reasoning, planning, and executing complex workflows.
• LLM Integration: Integrate Large Language Models into core products and services to enhance functionality.
• Model Context Protocol (MCP) Implementation: Use MCP to securely connect AI models to data sources, tools, and environments.
• Automated Code Generation: Leverage AI/LLMs to build systems that assist in code generation, testing, and optimization.
• System Engineering: Write clean, scalable Java and Python to support AI backend infrastructure.
• Google Ecosystem Integration: Utilize Google ADK and Vertex AI services to deploy AI solutions.
• Cross-Functional Collaboration: Work with product managers, data scientists, and frontend engineers to translate requirements into AI solutions.

Skills

Java

Python

LLM experience

LangChain

MCP knowledge

Code generation

Tools

Google ADK

Vertex AI

Gemini APIs

Docker

Kubernetes

Job description

Quantum Technologies. LLC in Irving, TX seeks an AI Engineer to bridge software and AI, designing and deploying autonomous agents, integrating LLMs, and advancing automated code generation.

The role requires strong Java and Python, hands-on Google AI tools, MCP, LangChain, and experience with production-grade systems in cloud environments. Remote option available; duration 24 months with extension.