AI Engineer - Generative AI & Full Stack Development - 23402-1

Role: AI Engineer - Generative AI & Full Stack Development

Location: Atlanta, GA

Mandatory Areas

AI Engineer Experience: 5+ Years

We are seeking a highly skilled AI Engineer with strong experience in Java-based enterprise application development and hands-on expertise in integrating Generative AI (GenAI) and Large Language Model (LLM) solutions into business workflows

Job Description:

AI Engineer - Generative AI & Full Stack Development

Job Title: AI Engineer

Job Summary We are seeking a highly skilled AI Engineer with strong experience in Java-based enterprise application development and hands-on expertise in integrating Generative AI (GenAI) and Large Language Model (LLM) solutions into business workflows. The ideal candidate should have experience designing scalable AI-enabled applications, building microservices, integrating Azure OpenAI/OpenAI APIs, implementing RAG architectures, and developing intelligent workflow automation solutions.

Key Responsibilities

• Design, develop, and maintain enterprise-grade applications using Java 17+, Spring Boot, and Microservices Architecture. Build and consume RESTful APIs for system integrations and AI-powered services. Integrate Generative AI/LLM-based capabilities into enterprise applications and business processes.
• Develop and implement Retrieval Augmented Generation (RAG) solutions for knowledge retrieval and contextual AI responses.
• Design AI orchestration workflows using frameworks such as LangChain, Semantic Kernel, or similar AI orchestration platforms.
• Engineer prompts and contextual workflows to improve LLM response quality and relevance.
• Implement robust AI response validation, guardrails, and monitoring mechanisms.
• Build intelligent solutions for transcript processing, summarization, content generation, and AI-assisted documentation creation.
• Collaborate with business stakeholders to identify and automate workflow opportunities using AI technologies.
• Develop responsive and user-friendly front-end applications using Angular, TypeScript, HTML5, and CSS.
• Ensure scalability, performance, security, and reliability of AI-enabled applications.
• Participate in architecture discussions, code reviews, and best practice implementation.

Required Technical Skills

Backend Development Java 17+ Spring Boot REST API Development Microservices Architecture

Event-Driven Architecture API Integration & Development Frontend Development Angular (Preferred)

TypeScript HTML5 CSS3 Responsive UI Development

Generative AI & LLM Technologies Generative AI Application Development Azure OpenAI / OpenAI APIs Prompt Engineering AI Orchestration Frameworks (LangChain, Semantic Kernel, etc.) Retrieval Augmented Generation (RAG) Context Assembly and Knowledge Retrieval for LLMs AI Response Validation & Guardrails AI Workflow Integration Transcript Processing and Summarization AI-Assisted Documentation Generation