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Applied AI Engineer - LLM, RAG & Agentic Workflows

SAI Systems Intl., Inc.United States🇺🇸United StatesPosted 22 Jul 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Job Details:
Job Title: AI Engineer
Duration: 12+ Months 
Contract Mode: W2
 
Job Description
We are seeking an experienced Agentic AI Engineer with strong expertise in Google Cloud Platform, Full Stack Development, Python AI, and CI/CD to design, develop, and deploy next-generation AI-powered applications and autonomous agents.
 
Key Responsibilities
  • Design and develop Agentic AI solutions, AI agents, and Generative AI applications.
  • Build and deploy AI applications using Python and Google Cloud Platform services.
  • Develop full-stack applications integrating AI capabilities with modern frontend and backend technologies.
  • Create and manage CI/CD pipelines for automated build, testing, and deployment.
  • Integrate LLMs, APIs, and enterprise data sources into AI solutions.
  • Implement scalable, secure, and production-ready AI applications on Google Cloud Platform (Google Cloud Platform).
  • Collaborate with cross-functional teams to rapidly prototype and deliver innovative AI capabilities.
Required Skills
  • Artificial Intelligence (AI): Mastery
  • Python AI Development: Advanced
  • Google Cloud Platform Engineering: Advanced
  • Full Stack Development (AI Applications): Advanced
  • CI/CD Pipeline: Advanced
  • Strong experience with LLMs, AI Agents, LangChain/LangGraph, and Generative AI frameworks.
  • Experience with Docker, Kubernetes, Git, and DevOps practices.
  • Strong understanding of REST APIs, microservices, and cloud-native architectures.

Skills

Docker
Microservices
Generative AI
Git
Google Cloud
Kubernetes
Python
REST

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