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# Software Engineer for Cloud & AI Platforms

- **Company:** Everforth Apex
- **Location:** Dearborn, MI, United States
- **Experience:** Expert
- **Salary:** $124,800.0 - $156,000.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Data Analysis, Software Applications, BigQuery, Business Systems, Cloud Computing, Continuous Integration, DevOps, Design of User Interfaces, Cloud Services, Software Organization, Google Cloud, Spring Cloud, Generative AI, Containerization, AI Platforms, AngularJS, Google Cloud Functions, Restful APIs
- **Published:** September 3, 2026
- **Apply:** https://www.dice.com/job-detail/f863d084-97aa-465a-986c-fe4663dfa91f

## About the Role

Education: Bachelor's Degree

Experience: A minimum of 10 years in IT, with at least 8 years in development. Must have hands-on expertise in Google Cloud Platform, Data/Analysis, and Containerization.

Technical Skills: Google Cloud Platform, Google Cloud Platform Cloud Run, Big Query, Data Analysis, Angular, UI/UX Design, Solution Architecture.

Preferred Qualifications

 * Experience with the AI Stack.

## Description

Our client is seeking a skilled Senior Software Engineer for Cloud & AI Platforms to design, develop, and support cloud-native applications, enterprise integrations, and AI-enabled solutions. This role focuses on backend engineering, Google Cloud Platform (Google Cloud Platform), DevOps, and modern software development practices. The ideal candidate will have experience building scalable APIs, cloud services, CI/CD pipelines, and AI-powered applications., * Build and enhance AI-enabled applications supporting engineering, business, and operational workflows.

 * Integrate applications with enterprise knowledge sources, business systems, workflow platforms, and AI services.
 * Develop reusable platform capabilities supporting retrieval, orchestration, prompt management, evaluation, and feedback workflows.
 * Support the implementation of emerging AI architectures, including Retrieval-Augmented Generation (RAG) and intelligent workflow automation.
 * Evaluate new technologies and contribute to reusable AI engineering standards, frameworks, and best practices.


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