Junior AI Engineer - Build LLM Apps & Autonomous Agents

Fourtitude Asia; Petaling Jaya; Presencial; MYR 54 000 - 71 000; Tempo integral

Resumo da oferta

Fourtitude Asia in Malaysia seeks an entry-level AI Engineer to join our AI team. You’ll build LLM-powered applications, RAG pipelines, and autonomous agents for client projects across financial services, insurance, telecom, and more.

You will work hands-on with senior engineers to turn business problems into production-ready features, including data preparation, model evaluation, and deployment support, gaining real-world AI engineering experience.

Qualificações

• Diploma or Bachelor's in CS/Computing or related field.
• Academic foundation in ML, statistics, data structures, and algorithms.
• Proficiency in Python and working knowledge of SQL.
• Understanding of core ML concepts, training and evaluation.
• Genuine interest in LLMs, prompting, and building apps on top of them.
• Strong desire to learn AI engineering and agent frameworks.
• Analytical thinking and a systematic approach to AI problems.
• Good written and verbal communication for collaboration.

Responsabilidades

• Develop LLM-powered applications and RAG pipelines.
• Integrate tools and APIs for autonomous agents.
• Collaborate with senior engineers and PMs.
• Prepare data and evaluate models.
• Assist deployment and monitoring of AI apps.

Conhecimentos

Python

SQL

LLM concepts

Problem solving

Communication

Learning mindset

Analytical thinking

Team collaboration

Formação académica

BSc CS

Data Science

Ferramentas

LangChain

OpenAI API

PyTorch

TensorFlow

OpenSearch

pgvector

FAISS

Docker

Git

PostgreSQL

MySQL

MongoDB

LangGraph

AWS

GCP

Azure

Descrição da oferta de emprego

Fourtitude Asia in Malaysia seeks an entry-level AI Engineer to join our AI team. You’ll build LLM-powered applications, RAG pipelines, and autonomous agents for client projects across financial services, insurance, telecom, and more.

You will work hands-on with senior engineers to turn business problems into production-ready features, including data preparation, model evaluation, and deployment support, gaining real-world AI engineering experience.