GenAI Python Engineer/Hybrid

Job Description: GenAI Python Engineer Role Summary Seeking a GenAI Engineer with strong hands-on experience in building end-to-end AI applications. The role requires integrating data from multiple systems, extracting and parsing information from documents and images, interacting with structured databases, storing parsed content in a vector database, and implementing robust retrieval pipelines. The engineer must also ensure solution quality through evaluation frameworks, ground-truth validation, and defined performance metrics. Key Responsibilities Design and build GenAI/RAG-based applications using data from multiple enterprise systems. Integrate with structured and unstructured data sources, including databases, APIs, files, and document repositories. Develop pipelines to parse and extract data from documents and images using OCR, document intelligence, and related tools. Process and structure extracted content for downstream AI use cases. Store parsed and chunked content in a vector database and manage embeddings effectively. Implement and optimize retrieval pipelines, including chunking, indexing, metadata tagging, filtering, and reranking. Build workflows to interact with relational and enterprise databases for querying and enrichment. Ensure the application follows strong evaluation practices, including accuracy, groundedness, relevance, hallucination checks, and response quality against ground truth. Work closely with architects, platform teams, and business ..... full job details .....