Data Engineer
Posted Updated 8
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Summary
Builds Python/FastAPI backend services and production GenAI/LLM applications (OpenAI, Hugging Face, LangChain), plus scalable data pipelines and graph database (Neo4j/Memgraph) integrations, deployed via CI/CD to on-premise or VM environments — in a Singapore team serving global import/export workflows.
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, Hugging Face Transformers, Lang Chain) 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, Hugging Face, 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
Python
and
FastAPI Develop, test, and deploy
GenAI applications
in a production setting Build and maintain
LLM pipelines
(e.g., OpenAI, Hugging Face Transformers, Lang Chain) 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, Hugging Face, 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