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# AI Engineer - Remote / Telecommute

- **Company:** CYNET SYSTEMS INC.
- **Location:** Columbus, GA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $76,960.0 - $87,360.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Software Construction, Enterprise Software Applications, Large Language Models, Multi-Agent Systems, Prompt Engineering, Spring-boot, Generative AI, Backend, AI Platforms, Restful APIs, Microservices
- **Published:** August 7, 2026
- **Apply:** https://www.dice.com/job-detail/88db5f0b-f968-4959-93cb-afa99a9285dc

## About the Role

* 5+ years of experience in Java-based enterprise application development.
 * Strong expertise in Generative AI and Large Language Models (LLMs).
 * Experience with Azure OpenAI or OpenAI APIs.
 * Proficiency in Spring Boot and REST API Development.
 * Knowledge of Microservices Architecture., * Java (Java 17+ preferred).
 * Spring Boot.
 * REST API Development.
 * Generative AI.
 * Large Language Models (LLMs).
 * Azure OpenAI or OpenAI APIs.
 * Prompt Engineering.
 * Retrieval Augmented Generation (RAG).
 * Microservices Architecture.
 * AI Application Integration & Orchestration.

## Description

* Design, develop, and maintain enterprise-grade applications using Java 17+, Spring Boot, and Microservices Architecture.
 * Build and consume REST APIs and integrate backend services with AI platforms.
 * Develop and integrate Generative AI/LLM-powered solutions into enterprise applications and business workflows.
 * Implement Retrieval Augmented Generation (RAG) solutions to enhance AI response quality and accuracy.
 * Design and optimize context assembly and retrieval mechanisms for Large Language Models (LLMs).
 * Develop AI orchestration workflows using modern AI frameworks and tools.
 * Integrate and optimize Azure OpenAI/OpenAI APIs for conversational AI and intelligent automation use cases.
 * Create, test, and refine prompts to improve AI-generated outputs.
 * Implement AI response validation, monitoring, compliance checks, and guardrails for production-grade applications.
 * Develop solutions for transcript processing, content summarization, and AI-assisted documentation generation.
 * Collaborate with Product Owners, Architects, and Business Stakeholders to identify and implement AI use cases.
 * Ensure application scalability, security, performance, and adherence to software engineering best practices.


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