RAG-Driven AI Data & Semantic Architect for GenAI

Lavu Tech Solutions Sdn Bhd; Kuala Lumpur; Presencial; MYR 120.000 - 240.000; Tempo integral

Resumo da vaga

Lavu Tech Solutions Sdn Bhd in Kuala Lumpur is seeking an experienced AI Data & Semantic Modeling Engineer to design and deliver enterprise-grade AI and analytics solutions. You will build data access layers, semantic retrieval frameworks, and natural language interfaces for enterprise data.

The role emphasizes Retrieval-Augmented Generation architectures, modern backend development, and scalable data platforms, working with Python, REST APIs, and frontend tools like React/Next.js/Streamlit.

Qualificações

• 7+ years of software engineering, data engineering, or AI solution development experience.
• Strong experience in 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.
• Strong Python development experience.
• Experience with React, Next.js, or Streamlit.

Responsabilidades

• Design, develop, and support enterprise-grade AI and analytics solutions.
• Build intelligent data access layers and semantic retrieval frameworks.
• Create conversational analytics platforms and automated reporting tools.

Conhecimentos

7+ years exp

RAG architectures

Semantic search

Vector databases

Metadata retrieval

Python development

REST API development

Streaming architectures

Asynchronous processing

Job orchestration

React

Next.js

Streamlit

Ferramentas

Snowflake

BigQuery

Databricks

PostgreSQL

FastAPI

Flask

Descrição da vaga

Lavu Tech Solutions Sdn Bhd in Kuala Lumpur is seeking an experienced AI Data & Semantic Modeling Engineer to design and deliver enterprise-grade AI and analytics solutions. You will build data access layers, semantic retrieval frameworks, and natural language interfaces for enterprise data.

The role emphasizes Retrieval-Augmented Generation architectures, modern backend development, and scalable data platforms, working with Python, REST APIs, and frontend tools like React/Next.js/Streamlit.