Entry-Level AI Engineer: Build LLM Apps & Autonomous Agents

Fourtitude Asia; Petaling Jaya; On-site; MYR 42,000 - 68,000; Full time

Job summary

Fourtitude Asia seeks an entry‑level AI Engineer to join its AI team in Malaysia, building LLM‑powered applications and autonomous AI agents for client projects across industries. You will work on production‑ready features such as retrieval‑augmented applications and document processing with senior engineers.

In this hands‑on role, you’ll contribute to model training, evaluation, and data preparation, while learning frameworks for multi‑step agent orchestration and tool integration.

Qualifications

• Diploma or Bachelor's degree in CS/Computing/AI or related field.
• Coursework in machine learning, statistics, data structures, and algorithms.
• Proficiency in Python and SQL.
• Understanding of core ML concepts and model evaluation.
• Genuine interest in large language models, prompting, and building apps.
• Strong desire to learn AI engineering and agent frameworks.
• Analytical problem solving and communication skills.

Responsibilities

• LLM Application Development: Prompt engineering, LLM integration, RAG pipelines.
• Agentic AI Development: Build autonomous multi‑agent systems and tool integrations.
• AI Application Engineering: Python apps, microservices, APIs, CI/CD basics.
• Cross‑Functional Responsibilities: Collaborate with senior engineers, PMs, and stakeholders.

Skills

Python

SQL

Problem Solving

Communication

ML Foundations

LLM Curiosity

Education

Diploma or Bachelor’s Degree in CS/Computing/AI

ML coursework

Tools

LangChain

LangGraph

OpenAI

Job description

Fourtitude Asia seeks an entry‑level AI Engineer to join its AI team in Malaysia, building LLM‑powered applications and autonomous AI agents for client projects across industries. You will work on production‑ready features such as retrieval‑augmented applications and document processing with senior engineers.

In this hands‑on role, you’ll contribute to model training, evaluation, and data preparation, while learning frameworks for multi‑step agent orchestration and tool integration.