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

Junior Data Engineer