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AI Engineer#26-01534

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Job Description

AI Engineer

Remote

Mandatory Areas

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

For the AI engineers, we are looking for experience integrating Generative AILLMbased applications into enterprise workflowsJava 17Spring BootREST API developmentMicroservices architectureREST APIsEventdriven architectureAngular preferredTypeScriptHTML5CSSRes ponsive UI developmentGenerative AI integrationAzure OpenAI or OpenAI APIsPrompt engineeringAI orchestration frameworksRetrieval Augmented Generation RAGContext assembly for LLMsAI response validationAI workflow in

AI Engineer - Generative AI & Full Stack Development Job Title: AI Engineer Experience: 5+ Years Location: PAN India / Preferred Location Domain: Healthcare (Preferred) 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.