Senior AI Data & Semantic Engineer – RAG & Analytics

LAVU TECH SOLUTIONS SDN. BHD.; Penang; On-site; MYR 180,000 - 300,000; Full time

Job summary

LAVU Tech Solutions SDN. BHD. in Penang seeks an experienced AI Data & Semantic Modeling Engineer to design, develop, and support enterprise-grade AI and analytics solutions.

The role focuses on Hybrid RAG architectures, semantic retrieval, and REST APIs to enable natural-language interactions with enterprise data. You will work with Snowflake, BigQuery, Databricks, and PostgreSQL, building data access layers and automated reporting, while applying streaming and asynchronous processing to scale

Qualifications

• 7+ years of software engineering, data engineering, or AI solution development.
• Experience with Hybrid RAG architectures, Semantic search, Vector databases, and metadata-driven retrieval systems.
• Hands-on experience with enterprise databases and data warehouses: Snowflake, BigQuery, Databricks, PostgreSQL.
• Experience building REST APIs using FastAPI or Flask.
• Experience with streaming architectures, asynchronous processing, and job orchestration.
• Experience with React, Next.js, or Streamlit.

Responsibilities

• Design and develop Hybrid RAG architectures and semantic search systems.
• Build intelligent data access layers and semantic retrieval frameworks.
• Develop conversational analytics platforms and automated reporting solutions.
• Work with enterprise databases and data warehouses including Snowflake, BigQuery, Databricks, and PostgreSQL.
• Build REST APIs using FastAPI or Flask and implement streaming architectures.

Skills

Hybrid RAG architectures

Semantic search

Vector databases

Metadata-driven retrieval

REST APIs

Streaming architectures

Asynchronous processing

React

Next.js

Streamlit

Tools

Snowflake

BigQuery

Databricks

PostgreSQL

FastAPI

Flask

React

Next.js

Streamlit

Job description

LAVU Tech Solutions SDN. BHD. in Penang seeks an experienced AI Data & Semantic Modeling Engineer to design, develop, and support enterprise-grade AI and analytics solutions.

The role focuses on Hybrid RAG architectures, semantic retrieval, and REST APIs to enable natural-language interactions with enterprise data. You will work with Snowflake, BigQuery, Databricks, and PostgreSQL, building data access layers and automated reporting, while applying streaming and asynchronous processing to scale