AI Data Engineer

PROJECT SEARCH PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A technology company in Singapore is hiring an AI Data Engineer to build and optimize scalable data pipelines on AWS. The role involves integrating data workflows with AI platforms like Amazon Bedrock and OpenAI, and improving data models for analytics and BI. Candidates should have strong experience in Python and AWS, along with exposure to vector databases. This is an exciting opportunity to support fast-growing AI use cases and collaborate with product and engineering teams.

Qualifications

• Strong Python + AWS data engineering experience.
• Exposure to AI platforms like Bedrock, Gemini, OpenAI.
• Experience with vector databases such as Pinecone or Qdrant.

Responsibilities

• Build and maintain Python + AWS data pipelines.
• Integrate data workflows with AI services and vector databases.
• Improve data models for BI and analytics teams.

Skills

Python

AWS

AI platforms

Data modeling

Tools

Pinecone

Qdrant

FAISS

Job description

We’re hiring an AI Data Engineer to build and optimize scalable data pipelines on AWS, and integrate them with modern AI platforms like Amazon Bedrock, Google Gemini, and OpenAI. You’ll support fast-growing AI use cases, collaborate with product and engineering teams, and enhance data models that power analytics and BI.

What You’ll Do:

• Build & maintain Python + AWS data pipelines (S3, Lambda, ECS, RDS, SNS/SQS).
• Integrate data workflows with AI services & vector databases.
• Improve data models for BI and analytics teams.
• Contribute to testing, documentation, and engineering best practices.
• Work closely with frontend/backend engineers and product teams.

What You Bring:

• Strong Python + AWS data engineering experience
• Exposure to AI platforms (Bedrock, Gemini, OpenAI)
• Experience with vector DBs (Pinecone, Qdrant, FAISS, etc.)
• Good understanding of data modeling and pipeline optimization