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AI Engineer

SAI Systems Intl., Inc.United States🇺🇸United StatesPosted 25 Jul 2026

Why This Role Stands Out

This hybrid role offers an exciting opportunity to develop cutting-edge Agentic AI applications on Google Cloud Platform, integrating LLMs and building scalable solutions. You'll thrive here if you possess strong Python, full-stack, and GCP expertise, looking to expand your skills in a collaborative environment. Apply now to be at the forefront of AI innovation!

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

We are seeking a Senior Agentic AI Engineer to design, develop, and deploy enterprise-grade Agentic AI applications on Google Cloud Platform (Google Cloud Platform). The ideal candidate will have strong expertise in Python-based AI development, full-stack application development, Google Cloud Platform services, and CI/CD automation. You will build scalable AI solutions, integrate LLMs with enterprise systems, and deliver secure, production-ready applications.
Key Responsibilities
  • Design and develop Agentic AI applications using modern AI frameworks and Large Language Models (LLMs).
  • Build scalable AI services and APIs using Python.
  • Develop end-to-end full-stack applications for AI-powered solutions.
  • Integrate AI agents with enterprise data sources, APIs, and business applications.
  • Design and deploy cloud-native AI solutions on Google Cloud Platform (Google Cloud Platform).
  • Implement Retrieval-Augmented Generation (RAG), vector databases, embeddings, and prompt engineering techniques.
  • Build and maintain CI/CD pipelines for automated build, testing, deployment, and monitoring.
  • Containerize applications using Docker and deploy on Kubernetes/GKE.
  • Collaborate with Product Owners, Architects, and cross-functional Agile teams.
  • Ensure security, scalability, performance, and reliability of AI solutions.
Required Skills
  • Advanced experience in Agentic AI and Generative AI application development.
  • Strong proficiency in Python for AI and backend development.
  • Experience with AI frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, or AutoGen.
  • Strong knowledge of Google Cloud Platform (Google Cloud Platform) including Vertex AI, Cloud Run, GKE, Cloud Functions, BigQuery, Cloud Storage, Pub/Sub, and IAM.
  • Experience with LLMs, RAG, embeddings, vector databases, and prompt engineering.
  • Full Stack development experience using modern frontend frameworks (React, Angular, Vue.js) and backend APIs.
  • Experience building RESTful APIs and microservices.
  • Strong experience with Docker, Kubernetes, Git, and CI/CD pipelines.
  • Experience with DevOps practices and infrastructure automation.
  • Strong understanding of Agile/Scrum methodologies.
Preferred Skills
  • Vertex AI Agent Builder or Vertex AI Search.
  • Vector databases such as Pinecone, Weaviate, Chroma, or FAISS.
  • Terraform or Infrastructure as Code (IaC).
  • Monitoring tools such as Prometheus, Grafana, or Cloud Monitoring.
  • Experience with secure AI deployment and Responsible AI practices.
Qualifications
  • Bachelor''s or Master''s degree in Computer Science, Engineering, or related field.
  • 8+ years of software engineering experience.
  • 3+ years of hands-on experience building AI/Generative AI solutions.
  • Experience delivering enterprise-scale AI applications in production.
  • Excellent communication and problem-solving skills.
 

Skills

Docker
Microservices
Scrum
Agile
Angular
BigQuery
Generative AI
Git
Google Cloud
Grafana
Kubernetes
Prometheus
Python
React
Terraform
Vue

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