AI Engineer: LLMs, Autonomous Agents & Google Cloud AI

Quantum Technologies. LLC; Texas; Presencial; USD 78.000 - 112.000; Jornada completa

Descripción de la vacante

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

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Google AI Tools

LLM Expertise

Agentic Workflows

MCP Knowledge

Code Generation

Herramientas

Google ADK

Vertex AI

Gemini APIs

Descripción del empleo

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