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# Sr. Java Full Stack AI Engineer

- **Company:** Digipulse Technologies Inc.
- **Location:** Fort Thomas, KY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Engineering, Information Engineering, Data Infrastructure, Data Stores, DevOps, Programming Tools, Distributed Systems, Python (Programming Language), Machine Learning, Node.Js, Web Applications, Google Cloud, Cloud Platform System, GitHub Copilot, Large Language Models, Prompt Engineering, Backend, Kubernetes, Enterprise Integration, Machine Learning Operations, Claude, Api Design, Google Gemini, Data Pipelines, Programming Languages
- **Published:** October 8, 2026
- **Apply:** https://www.disabledperson.com/jobs/75879867-sr-java-full-stack-ai-engineer

## About the Role

* Strong backend engineering background (role is heavily backend-focused)
 * Hands on experience with programming languages such as Java, Node.js, Python
 * Hands-on experience deploying and scaling applications within cloud environments such as AWS, Azure, or Google Cloud.

 * Experience with modern platform engineering and DevOps practices, including containers, Kubernetes, Infrastructure-as-Code, and cloud-native architectures.
 * Familiarity with modern web application architectures
 * API design, development, and integration expertise

 1. AI & LLM Engineering (25%)

 * Experience leveraging Large Language Models (LLMs) to solve business problems
 * Strong understanding of prompt engineering, prompt management, and GenAI solution design
 * Experience working with GenAI developer tools such as: GitHub Copilot, Gemini, Claude
 * Familiarity with AI strategy, implementation, and scaling AI-driven solutions

 1. Data Platform Engineering (25%)

 * Strong data engineering experience
 * Experience with data pipelines, data stores, orchestration frameworks, and distributed systems
 * Understanding of machine learning workflows and AI-enabled applications
 * Experience deploying and scaling AI/ML solutions in production environments

 1. Cloud Architecture, Scale & Security (25%)

 * Cloud-native development experience
 * Kubernetes and containerized application deployment
 * Experience with deployment patterns and scalable system design
 * Understanding of secure, enterprise-grade architecture