Job Title: AI Engineer - Hybrid
Location: Atlanta, GA
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.
Preferred Qualifications:- Experience delivering AI-powered enterprise solutions in Healthcare or regulated industries.
- Knowledge of vector databases, embeddings, and semantic search technologies.
- Experience integrating AI solutions with business applications and workflow platforms.
- Understanding of AI governance, security, and responsible AI practices.
- Exposure to Azure cloud services and AI infrastructure.
Educational Qualification: Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
Key Competencies:- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder management abilities.
- Ability to work in Agile/Scrum development environments.
- Passion for emerging AI technologies and innovation.
- Strong collaboration and cross-functional teamwork skills.
Preferred Experience: - Healthcare domain experience and proven experience integrating Generative AI/LLM capabilities into enterprise workflows and business applications.
Must Have Skills:- 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.