Generation AI Developer

Job Description: We are seeking an experienced Generative AI Developer with expertise in Azure cloud services and a Java-based backend to join our cutting-edge AI team. You will be responsible for designing and deploying intelligent systems that combine RAG (Retrieval-Augmented Generation), prompt engineering, and document processing pipelines. Your work will contribute to two major initiatives: a RAG-based Document Intelligence System and an Embedded Knowledge Chatbot. Key Responsibilities: Design and implement document ingestion workflows using Java and Azure services. Develop LLM-prompt pipelines to extract structured data (JSON) from unstructured documents. Build automation scripts for form population and data validation. Implement JSON schema validation and transformation modules. Integrate user review interfaces and handle final data submission workflows. Ingest enterprise documentation into Azure-based vector stores for semantic retrieval. Develop chat-based interfaces to allow users to query internal knowledge using natural language. Design backend services using Java that interface with RAG-powered LLMs via LangChain or similar frameworks. Implement conversational workflows that deliver context-aware responses. Required Skills & Technologies: Programming: Strong experience in Java (Spring Boot or similar frameworks). AI Integration: Experience working with Large Language Models (LLMs) in a RAG setup. Prompt Engineering: Ability to craft prompts and chain logic to drive accurate responses from LLMs. Data Extraction: Expertise in document parsing, OCR, and JSON generation. Form Automation: Experience with auto-filling and validating data in dynamic web forms. Vector Search & Retrieval: Familiarity with vector databases (e.g., Azure Cognitive Search, FAISS) and embedding models. Cloud Platform: Proficient in Microsoft Azure, including services like Azure Functions, Azure OpenAI, Azure Blob Storage, and Azure Cosmos DB. NLP/NLU: Solid foundation in Natural Language Understanding techniques and tokenization. Integration: Experience with backend APIs, chat UI frameworks, and event-driven architectures. Nice to Have: Knowledge of LangChain, Semantic Kernel, or similar RAG orchestration tools (in a Java-compatible context). Experience with DevOps pipelines on Azure (CI/CD). Understanding of enterprise security and compliance for AI solutions. Why Join Us? * Be at the forefront of applied generative AI in real-world enterprise applications. * Work in a fast-paced, innovative team solving complex problems with modern AI tools. * Opportunity to influence AI architecture and decision-making in a growing company. Application Process: Please submit your resume and a brief statement highlighting your relevant AI and Azure experience, especially on Java-based projects involving RAG, LLMs, and document intelligence. How to Apply: Interested candidates are encouraged to send their updated resume along with a cover letter highlighting their relevant experience to in_jobs@lucidtechinc.com . Please include the following details in your email: Current location Current CTC Expected CTC Notice Period Join Our Team! Be part of a dynamic organization dedicated to excellence in recruitment and client satisfaction. We look forward to welcoming you to Lucid Technologies Inc. Thanks & Regards, HR Department Lucid Technologies Inc. Email: in_jobs@lucidtechinc.com