Data Engineer

Roles & Responsibilities

Responsibilities

• Design and build backend services usingPythonandFastAPI
• Develop, test, and deployGenAI applicationsin a production setting
• Build and maintainLLM pipelines(e.g., OpenAI, Hugging Face Transformers, Lang Chain)
• Construct scalabledata pipelinesfor ingesting and structuring archival content
• Interface withgraph 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 manageon-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 inPython, with experience inFastAPI
• Experience developing and deployingLLM-based applications(Azure OpenAI API, Hugging Face, etc.)
• Background indata engineering—working with large-scale unstructured text, ETL workflows
• Familiarity withgraph databasesand knowledge representation
• Exposure toCI/CD pipelinesand deploying services inon-premiseorvirtual machineenvironments
• Track record of takingGenAI applicationsfrom development to real-world usage