GenAI Engineer

Role Summary Seeking a GenAI Engineer with strong handson experience in building endtoend 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 groundtruth validation and defined performance metrics Key Responsibilities * Design and build GenAIRAGbased 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 stakeholders to deliver scalable and secure solutions * Follow enterprise standards for security governance observability and performance Required Skills and Experience * Strong experience in AIML engineering with handson exposure to Generative AI use cases * Experience in building RAG applications in enterprise environments * Strong knowledge of document parsing OCR and imagebased data extraction * Experience with LLM orchestration frameworks and prompt design * Experience with vector databases and semantic search * Strong programming skills in Python * Experience working with SQLNoSQL databases and enterprise data integration patterns * Understanding of evaluation frameworks for GenAI systems using benchmark datasets and groundtruthbased validation * Experience in building scalable APIsservices and productiongrade AI workflows Preferred Skills * Experience with Azurebased AI stack * Experience with highvolume document processing * Familiarity with enterprise architecture security and compliance controls * Exposure to monitoring model evaluation and AI observability tools Preferred Profile * Able to independently build and deploy GenAI applications from ingestion to retrieval and evaluation * Strong problemsolving skills with a practical implementation mindset * Comfortable working across data engineering AI engineering and application integration Skills Mandatory Skills : GenAI - LLMOps, Python