Agentic AI Google Cloud Platform Engineer

4 Consulting Inc
Hackensack, United States of America
7 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Hackensack, United States of America

Tech stack

API
Agile Methodologies
Artificial Intelligence
Cloud Computing
Cloud Engineering
Continuous Integration
Data Cleansing
Python
Natural Language Processing
Software Architecture
Google Cloud Platform
Enterprise Software Applications
Feature Engineering
Large Language Models
GIT
Machine Learning Operations
Virtual Agents

Requirements

  • Design, develop, and deploy AI and machine learning solutions using Google Cloud Platform technologies.
  • Build and implement Agentic AI frameworks and LLM-powered applications.
  • Develop scalable backend and frontend applications to support AI-driven solutions.
  • Perform data preprocessing, feature engineering, model training, testing, and evaluation.
  • Deploy AI applications into production environments and monitor ongoing performance.
  • Collaborate with technical teams and stakeholders to gather requirements and define solution architectures.
  • Design cloud-native and scalable software architectures aligned with business objectives.
  • Integrate AI models, APIs, and enterprise systems for seamless functionality.
  • Troubleshoot and resolve technical issues related to AI applications and cloud infrastructure.
  • Strong experience with Google Cloud Platform (Google Cloud Platform) and cloud solution architecture.
  • Hands-on experience with Agentic AI, Large Language Models (LLMs), and AI frameworks.
  • Proficiency in Python and AI/ML development libraries and frameworks.
  • Experience with full stack development technologies and API integration.
  • Knowledge of NLP, predictive analytics, and AI model deployment strategies.
  • Strong understanding of software architecture, scalable system design, and cloud-native development.
  • Experience with CI/CD pipelines, Git, and Agile methodologies.
  • Strong analytical, troubleshooting, and problem-solving skills.

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