Hire Divya B. - Vector Database Engineer

* Design and deploy production-ready Generative AI systems using LLMs for semantic search, intelligent * chatbots, content generation, Q&A pipelines, and document-based automation solutions. * Build end-to-end RAG architectures including data ingestion, preprocessing, embedding generation, * vector database integration (Pinecone, Weaviate), metadata handling, and scalable API deployment * using Python and FastAPI. * Improve model accuracy and reliability through prompt engineering, structured instruction tuning, * context window optimization, and retrieval enhancement techniques. * Integrate AI solutions with databases, document stores, and cloud environments, ensuring scalable, * business-aligned, and performance-optimized deployments.

* Implemented RLHF feedback loops and response evaluation pipelines to enhance model alignment, * output quality, and reliability across AI-driven applications. * Built end-to-end data pipelines including data cleaning, preprocessing, transformation, and structured * input preparation to improve model performance and accuracy. * Leveraged foundational AI models and transformer architectures to develop NLP solutions such as * resume parsing, job description analysis, and conversational intent detection systems. * Developed and deployed scalable RESTful APIs integrated with MySQL, MongoDB, and PostgreSQL, * ensuring robust backend architecture and efficient data handling. * Deployed and maintained Dockerized applications on AWS (S3, EC2, ECS, RDS, API Gateway, VPC, IAM), * collaborating within Agile/Scrum teams to deliver production-ready AI solutions.