AI Engineer

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

Role Overview: We're seeking a motivated entry-level AI Engineer to join our AI team. You’ll help build LLM-powered applications and autonomous AI agents that go into the customized software we deliver for clients across financial services, insurance, telecom, retail, and utilities.

The role is hands‑on, involving turning business problems into working AI features such as retrieval‑augmented applications, document‑processing systems, and multi‑step agents, and getting them into production alongside our senior engineers. It’s a strong opportunity for a recent graduate to build real AI engineering experience on live client projects.

Key Responsibilities

LLM Application Development

• Prompt Engineering: Develop and iterate on prompting strategies for reliable, task‑specific outputs.
• LLM Integration: Build applications on top of large language models for document processing, customer support automation, and financial analysis.
• Retrieval‑Augmented Generation (RAG): Assist in building RAG pipelines which includes chunking, embeddings, vector search, and grounding responses in client data.
• Evaluation & Guardrails: Help test LLM outputs for accuracy and safety, and apply basic guardrails such as PII handling, prompt‑injection checks, and output validation.

Agentic AI Development

• Agent Development: Learn to build autonomous and multi‑agent systems that plan and execute multi‑step tasks.
• Tool Integration: Create and integrate tools and APIs that agents use to interact with external systems.
• Orchestration: Work with agent frameworks and orchestration tooling to compose reliable agent workflows.
• Model Development: Assist in training, fine‑tuning, and optimizing machine learning models for classification, regression, and NLP tasks.
• Model Evaluation: Support evaluation of model performance and help interpret results.
• Data Preparation: Prepare and curate datasets for training and evaluation, including labeling, cleaning, and formatting.

AI Application Engineering

• Python Development: Build Python applications, microservices, and APIs that serve AI models and agents.
• Deployment Support: Support deployment of AI applications to production, including basic CI/CD and containerized workflows.
• Monitoring: Help set up monitoring and alerting for model performance and application health.

Cross‑Functional Responsibilities

• Research & Development: Keep current with AI/ML and agent developments; experiment with new models, frameworks, and techniques.
• Collaboration: Work with senior engineers, product managers, and business stakeholders to identify and shape AI opportunities.
• Documentation: Document prompts, agent designs, model architectures, and runbooks so others can build on your work.

Required Qualifications

• Education: Diploma or Bachelor’s Degree in Computer Science, Computing, Software Engineering, Data Science, Artificial Intelligence, Mathematics, Statistics, or a related field. Recent graduates are welcomed.
• Academic Foundation: Coursework in machine learning, statistics, data structures, and algorithms.
• Programming Skills: Proficiency in Python and working knowledge of SQL, with academic or personal project experience.
• ML Foundation: Understanding of core machine learning concepts and how models are trained and evaluated.
• LLM Curiosity: Genuine interest in large language models, prompting, and building applications on top of them.
• Learning Mindset: Strong desire to learn AI engineering and agent frameworks, with the adaptability to pick up new tools quickly.
• Problem Solving: Analytical thinking and a systematic approach to AI and data problems.
• Communication: Good written and verbal communication for collaborative work and stakeholder discussions.

Preferred Qualifications

• LLM Experience: Personal projects, coursework, or internship experience building with LLMs (e.g. Anthropic, OpenAI, or open models).
• Agent Development: Familiarity with agent frameworks such as Strands and LangChain, and orchestration with LangGraph.
• RAG & Vector Search: Exposure to embeddings and vector databases such as OpenSearch, pgvector, or FAISS.
• Deep Learning Frameworks: Academic projects using PyTorch or TensorFlow.
• Data Science Libraries: Experience with Pandas and NumPy.
• Cloud Exposure: Basic familiarity with AWS (preferred), GCP, or Azure, and with cloud AI services such as Amazon Bedrock.
• Containers & Version Control: Working knowledge of Docker and Git.
• Databases: Experience with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB) databases.

Fourtitude.asia is an organization that assists clients in realizing their technology centric objectives. Our unique approach in viewing a client’s needs from different perspectives; Business, Infrastructural, Application and Marketing, means that a strategic view right down to tactical execution is considered, allowing for solution scalability and continuity.

As an organization that engages clients and partners on a daily basis, we are looking for team members and colleagues who share our commitment towards integrity, responsibility and independence. Qualifications and work experience is appreciated, but the core traits we seek are a willingness to learn, the ability to deliver on a committed task and timeline and the ability to work and grow with minimal supervision.

Fourtitude.asia is an organization that assists clients in realizing their technology centric objectives. Our unique approach in viewing a client’s needs from different perspectives; Business, Infrastructural, Application and Marketing, means that a strategic view right down to tactical execution is considered, allowing for solution scalability and continuity.

As an organization that engages clients and partners on a daily basis, we are looking for team members and colleagues who share our commitment towards integrity, responsibility and independence. Qualifications and work experience is appreciated, but the core traits we seek are a willingness to learn, the ability to deliver on a committed task and timeline and the ability to work and grow with minimal supervision.