AI Engineer - Hybrid

Axelon

  • Atlanta, GA
  • Today
  • $50 Per Hour

Highlights

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. 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.

Numbers & Facts

LocationAtlanta, GA
Salary$50 Per Hour

Description

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.

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