Data/ AI Engineer

Newbridge; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Newbridge is building an AI-native data platform from the ground up in Singapore. You will join the founding team to design architecture, not just maintain it, focusing on scalable data pipelines, a semantic layer, and AI-powered analytics.

You will work with Cube.js / Cube Cloud, LLMs, and knowledge graphs to take models from prototype to production, while ensuring governance and security of the semantic layer.

Qualifications

• Experience in Data Engineering / AI Engineering with Python and SQL.
• Hands-on experience with Cube.js or similar semantic layer.
• Strong experience with LLMs, RAG, LangChain / LlamaIndex, Vector DBs.
• Experience with data warehouses - Snowflake / BigQuery / Redshift.
• Experience with ETL/ELT, API development and data modeling.

Responsibilities

• Design and build scalable data pipelines and semantic layer using Cube.js / Cube Cloud.
• Build LLM-powered applications on top of the semantic layer - RAG, AI agents, analytics.
• Develop and optimize data models, metrics layer and headless BI APIs.
• Integrate vector databases, LLMs and knowledge graphs for semantic search and reasoning.
• Collaborate with AI Scientists and Product to take models from prototype to production.
• Own performance, governance and security of the semantic layer.

Skills

Python

SQL

Data engineering

Semantic layer

LLMs

RAG

LangChain

Vector DBs

ETL/ELT

API development

Tools

Cube.js

Cube Cloud

dbt Semantic Layer

LookML

AtScale

Snowflake

BigQuery

Redshift

Docker

Kubernetes

Job description

We are building a new AI team from the ground up for our client. This is a greenfield opportunity to build an AI-native data platform powered by Cube.js and modern semantic workflows. You will be part of the founding team defining architecture, not just maintaining it.

Responsibilities

• Design and build scalable data pipelines and semantic layer using Cube.js / Cube Cloud
• Build LLM-powered applications on top of the semantic layer - RAG, AI agents, intelligent analytics
• Develop and optimize data models, metrics layer and headless BI APIs
• Integrate vector databases, LLMs and knowledge graphs for semantic search and reasoning
• Collaborate with AI Scientists and Product to take models from prototype to production
• Own performance, governance and security of the semantic layer

Required Skills

• Experience in Data Engineering / AI Engineering with Python and SQL
• Hands‑on experience with Cube.js or similar semantic layer - dbt Semantic Layer, LookML, AtScale
• Strong experience with LLMs, RAG, LangChain / LlamaIndex, Vector DBs
• Experience with data warehouses - Snowflake / BigQuery / Redshift
• Experience with ETL/ELT, API development and data modeling

Nice to Have

• Experience with Knowledge Graphs, GraphQL
• Experience with LLMOps, Docker, Kubernetes
• Experience with GenAI evaluation and fine-tuning