Data Engineer

Roles & Responsibilities Responsibilities Design and build backend services using Python and FastAPI Develop, test, and deploy GenAI applications in a production setting Build and maintain LLM pipelines (e.g., OpenAI, HuggingFace Transformers, LangChain) Construct scalable data pipelines for ingesting and structuring archival content Interface with graph databases (e.g., Neo4j, Memgraph) for relationship mapping Collaborate with AI/ML engineers, designers, and other stakeholders to integrate LLM outputs with UI and user workflows Implement CI/CD pipelines and manage on-premise or VM-based deployment Requirements Good understanding of a global import export environment & the documentation requirement for the same Familiarity in working across ERP systems and system integrations. Strong proficiency in Python , with experience in FastAPI Experience developing and deploying LLM-based applications (Azure OpenAI API, HuggingFace, etc.) Background in data engineering —working with large-scale unstructured text, ETL workflows Familiarity with graph databases and knowledge representation Exposure to CI/CD pipelines and deploying services in on-premise or virtual machine environments Track record of taking GenAI applications from development to real-world usage