Full-Stack AI Engineer — Python, React & AWS

Keysight Technologies Malaysia Sdn. Bhd.; Penang; Hybrid; MYR 80,000 - 120,000; Full time

Job summary

Keysight Technologies Malaysia Sdn. Bhd. in Penang is seeking a software engineer to turn AI use cases into production-ready full-stack solutions with AWS deployment, collaborating with customers and internal teams.

You will build AI applications with Python, Django and React, implement RAG and LLM features, and ensure scalable, efficient services on AWS while working in a hybrid in-office model in Penang.

Qualifications

• 2-5 years of professional software development experience.
• Strong Python and Django; hands-on React (modern JavaScript or TypeScript).
• Working experience on AWS.
• AI experience is required: LLM APIs/models and RAG (vector databases, embeddings, prompt engineering).
• Solid REST API, SQL and Git skills.
• Clear communication with technical and non-technical stakeholders.

Responsibilities

• You will embed with customers and internal teams to turn AI use cases into working full-stack products, from first prototype to production on AWS.
• Build and deploy full-stack AI applications using Python, Django and React.
• Implement RAG pipelines and LLM-powered features (chunking, embeddings, retrieval, prompting, guardrails).
• Work directly with customers to understand requirements, demo solutions and iterate quickly.
• Deploy and operate services on AWS (EC2/ECS, Lambda, S3, RDS, API Gateway).
• Monitor, evaluate and improve model quality, latency and cost in production.
• Document solutions and feed customer learnings back to the product and engineering teams.

Skills

Python

Django

React

AWS

LLM APIs

REST API

SQL

Git

Communication

Tools

Docker

CI/CD

Job description

Keysight Technologies Malaysia Sdn. Bhd. in Penang is seeking a software engineer to turn AI use cases into production-ready full-stack solutions with AWS deployment, collaborating with customers and internal teams.

You will build AI applications with Python, Django and React, implement RAG and LLM features, and ensure scalable, efficient services on AWS while working in a hybrid in-office model in Penang.