Generative AI Engineer

Job Summary:Develop pipelines to parse documents, chunk, vectorise, and store vector data.Design schemas for vector stores to optimise retrieval efficiency.Create prompt templates using advanced prompt engineering techniques.Implement few-shot prompting strategies for improved LLM interactions.Develop semantic agents and interfaces for seamless agent collaboration.Build microservices and expose them as APIs for scalable solutions.Work closely with architects and full-stack developers to deliver AI solutions.Apply best practices for data management and model deployment.Ensure scalability and performance of generative AI applications.Must-Have SkillsDesigned and developed scalable generative AI platforms for enterprise use cases.Built end-to-end pipelines for document parsing, chunking, vectorisation, and storage in vector databases like FAISS, Pinecone, and Chroma.Created and optimised vector store schemas for efficient semantic retrieval.Developed prompt templates using few-shot and zero-shot prompting techniques.Engineered semantic agents and built interfaces for agent collaboration in LLM workflows.Built and deployed microservices exposing LLM capabilities through scalable APIs.