Gen AI Engineer

Ensures consistency in testing practices and assures quality standards software products by leading the creation of test case documentation and execution within the team.Leads the creation, execution, and documentation of test cases that include: pre / post conditions, test execution steps, and expected results for releases and defectsUses test case results to track project status, forecast completion / budget information, and plan for releasesPerforms functional system and regression testing an

10+ years of experience in machine learning, OCR, computer vision, NLP, or intelligent document processing.Hands-on experience with Azure AI Document Intelligence or a comparable enterprise document-processing platform.Strong Python development skills.Experience with REST APIs, JSON, Azure SDKs, and asynchronous processing.Experience training and evaluating document classification and field-extraction models.Strong understanding of accuracy, precision, recall, F1 score, confidence calibration, a

Mandatory skills Data Engineering Design and develop scalable ETL/ELT pipelines using Databricks, Spark, and SQL. Build data ingestion frameworks for structured and unstructured documents. Develop data quality, reconciliation, and validation frameworks.Design medallion architecture (Bronze, Silver, Gold) for document processing workflows. Implement metadata management and lineage tracking. Gen AI & Agentic AI Build Intelligent Document Processing (IDP) solutions using LLMs.Develop AI agents to p

Required Experience 10+ years of software engineering experience. Strong Python backend development experience. Experience designing and operating production REST APIs. Strong experience with Elasticsearch in production environments. Experience building scalable search platforms. Experience with Kafka or enterprise event-streaming platforms. Experience deploying applications on Microsoft Azure. Experience with CI/CD pipelines and automated deployments. Experience troubleshooting production syste