AI Engineer

Quantum Technologies. LLC; Texas; On-site; USD 78,000 - 112,000; Full time

Job summary

Quantum Technologies LLC is seeking an AI Engineer to bridge software engineering and cutting-edge AI. The candidate will design, build, and deploy advanced AI agents and integrate LLMs, with a focus on Java and Python and leveraging Google's AI tools.

Responsibilities include integrating LLMs, implementing MCP, and enabling automated code generation within scalable AI backend infrastructure. This role demands collaboration with product and data science teams and supports multiple work

Qualifications

• Hands-on experience with Google ADK or equivalent Google Cloud AI/Vertex AI tools.
• Deep comfort level with Large Language Models (prompt engineering, fine-tuning, RAG).
• Experience building and orchestrating AI Agents (LangChain, LangGraph, or equivalents).
• Familiarity with Model Context Protocol (MCP) for AI interactions with tools.

Responsibilities

• AI Agent Development: design, build, and deploy autonomous AI agents capable of reasoning and execution.
• LLM Integration: integrate Large Language Models into products and services to enhance functionality.
• MCP Implementation: use MCP to securely connect AI models to data sources and tools.
• Automated Code Generation: build systems that assist or automate code generation and testing.
• System Engineering: write clean, scalable Java and Python to support AI backend infrastructure.
• Google Ecosystem Integration: utilize Google Cloud AI services (Vertex AI, Gemini APIs) in deployments.
• Cross-Functional Collaboration: work with product managers, data scientists, and frontend engineers to translate requirements into AI solutions.

Skills

Google AI Tools

LLM Expertise

Agentic Workflows

MCP Knowledge

Code Generation

Tools

Google ADK

Vertex AI

Gemini APIs

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: AI Engineer
Location:Iriving, TX
Duration: 11Months + Extension
Bill Rate: $69/hour (C2C)
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization:US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other
Job Summary:
We are seeking an innovative and highly skilled AI Engineer to join our dynamic team. The ideal candidate will bridge the gap between traditional software engineering and cutting-edge artificial intelligence. You will be instrumental in designing, building, and deploying advanced AI agents, working closely with Large Language Models (LLMs), and driving automated code generation initiatives. If you have a strong foundation in Java and Python, coupled with hands-on experience using Google's AI tools, we want you to help us build the next generation of intelligent applications

Key Responsibilities:

• 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.

Must-Have Qualifications:

• Google AI Tools:Hands-on experience withGoogle 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 theModel 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.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.