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.
Experience: 5+ years
Location: PAN India
Preferred Domain: Healthcare
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 Qualifications
• 5+ years of professional experience in software development and AI-enabled application development.
• Strong experience with Java 17+, Spring Boot, REST API development, and Microservices Architecture.
• Experience with event-driven architecture and API integration and development.
• Experience developing Generative AI applications and integrating LLM capabilities into enterprise applications and business processes.
• Experience with Azure OpenAI and/or OpenAI APIs.
• Experience with prompt engineering and AI orchestration frameworks such as LangChain, Semantic Kernel, or similar platforms.
• Experience implementing Retrieval Augmented Generation (RAG), contextual knowledge retrieval, and context assembly for LLMs.
• Experience implementing AI response validation, guardrails, and monitoring mechanisms.
• Experience with AI workflow integration, transcript processing, summarization, and AI-assisted documentation generation.
• Experience with Angular, TypeScript, HTML5, CSS3, and responsive UI development.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management skills.
• Ability to work in Agile/Scrum development environments.
• Strong collaboration and cross-functional teamwork skills.
• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
Preferred Qualifications
• Experience delivering AI-powered enterprise solutions in Healthcare or other regulated industries.
• Healthcare domain experience and proven experience integrating Generative AI/LLM capabilities into enterprise workflows and business applications.
• 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.
• Passion for emerging AI technologies and innovation.
