Note: The job is a remote job and is open to candidates in USA. HCL Global Systems Inc is seeking a highly skilled AI Engineer with strong experience in Java-based enterprise application development and expertise in integrating Generative AI and Large Language Model solutions into business workflows. The ideal candidate will design scalable AI-enabled applications and develop intelligent workflow automation solutions.
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
Skills
- AI Engineer Experience: 5+ Years
- Strong experience in Java-based enterprise application development
- Hands-on expertise in integrating Generative AI (GenAI) and Large Language Model (LLM) solutions into business workflows
- Experience designing scalable AI-enabled applications
- Building microservices
- Integrating Azure OpenAI/OpenAI APIs
- Implementing RAG architectures
- Developing intelligent workflow automation solutions
- 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
- Backend Development Java 17+
- Spring Boot
- REST API Development
- Microservices Architecture
- Event-Driven Architecture
- API Integration & Development
- Frontend Development Angular
- 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
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field
- 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
- 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
Company Overview
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