Java AI Engineer
Job in
Columbus, Muscogee County, Georgia, 31901, USA
Listed on 2026-08-15
Listing for:
Axelon Services Corporation
Full Time
position Listed on 2026-08-15
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Backend Developer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Java AI Engineer (remote) $40/hr
We are seeking an experienced AI Engineer with strong expertise in Java-based enterprise application development and Generative AI/LLM integration. The ideal candidate will have hands-on experience building and integrating AI-powered solutions into enterprise workflows using technologies such as Azure OpenAI/OpenAI APIs, RAG frameworks, Prompt Engineering, and AI Orchestration platforms. This role involves developing scalable AI-enabled applications, intelligent automation solutions, transcript-processing capabilities, AI-assisted documentation generation, and enterprise-grade AI integrations.
Mandatory Skills
Generative AI;
Java;
Agentic AI; LLMs
Key Responsibilities
- 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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