Title: Java AI Engineer (remote)
$40/hr
Job Summary
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 Skill
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.
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