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Data Engineer

JALANDHAR SC PTE. LTD.

Singapore

On-site

SGD 60,000 - 80,000

Full time

Yesterday
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Job summary

A technology firm in Singapore is seeking a skilled backend developer to design and build services using Python and FastAPI. The role involves developing and deploying GenAI applications while collaborating with AI/ML engineers on integrating LLM outputs. Ideal candidates should have a strong proficiency in Python, experience with CI/CD pipelines, and knowledge of graph databases. This position offers the opportunity to work with cutting-edge technologies in a dynamic environment.

Qualifications

  • Good understanding of global import/export environments and documentation.
  • Experience developing and deploying LLM-based applications.
  • Familiarity with CI/CD processes and deployments.

Responsibilities

  • Design and build backend services using Python and FastAPI.
  • Develop, test, and deploy GenAI applications in production.
  • Build and maintain LLM pipelines for archival content.

Skills

Python
FastAPI
CI/CD
GenAI applications
Graph databases
Data Engineering

Tools

OpenAI
HuggingFace
Neo4j
Memgraph
Job description
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
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