M01 - AI Engineer

FPT Asia Pacific; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

FPT Asia Pacific seeks an AI Engineer to design and deliver AI/ML solutions across business units. You will work with stakeholders to translate needs into technical requirements, build deployable AI applications and data models, and advance the company’s AI strategy using Generative AI, RAG, and vector techniques.

You will develop backend APIs, frontend interfaces, and ensure secure, scalable deployments on AWS, Docker/Kubernetes, and modern web stacks.

Qualifications

• Bachelor's degree in CS/CE/ML/DS/AI or related discipline.

Responsibilities

• Collaborate with business users to understand priorities and use cases.

Skills

LLM concepts

RAG architectures

Agent frameworks (LangChain/LangGraph/

DeepAgents

Education

Bachelor's degree in Computer Science / Computer Engineering / ML / Data Science / AI

Tools

AWS

FastAPI

Flask

Express.js

React

Vue.js

HTML/CSS

TypeScript

Docker

Kubernetes

Git

SQL

C#

Tableau

Power BI

MicroStrategy

LangChain

LangGraph

DeepAgents

Job description

Overview

As an AI Engineer, you will use Generative AI techniques complemented with data science modelling to develop models and products that support a range of divisions across investment promotion, industry development and corporate functions. You will have the opportunity to partner closely with key stakeholders to identify business challenges, translate user needs into technical requirements, and deliver AI and Machine Learning solutions that drive measurable outcomes.

Responsibilities

• Collaborating with business users to understand their key priorities and use cases
• Proposing and developing solutions using data science and/or Generative AI techniques to drive business value
• Working directly on building portfolio of deployed AI applications and data science models, including our in-house agentic platform
• Data wrangling & analysis - preprocessing, cleaning and feature engineering
• Developing backend APIs and services to support AI model deployment and integration
• Building frontend interfaces and user experiences for AI-powered applications
• Reviewing and implementing fixes for reported security vulnerabilities
• Researching emerging AI/data science techniques and identifying relevant ones for EDB to explore and adopt (e.g. Agentic, LLM, Predictive, Fraud/Anomaly Detection, Text Analytics, Customer Segmentation)

Requirements

• Minimum of Bachelor's Degree in Computer Science, Computer Engineering, Machine Learning / Data Science / AI or related disciplines;
• Experience in cloud platform and services preferably in AWS
• Understanding of LLM concepts (e.g. context windows, embeddings, chunking,token management) and architectures (e.g. RAG), including Knowledge of vector databases and embedding techniques
• Understanding of AI agent frameworks and multi-agent systems (e.g. LangChain, LangGraph, DeepAgents)
• Experience with web frameworks and full-stack development, including backend frameworks (e.g. FastAPI, Flask, Express.js) and RESTful API development, and frontend technologies (e.g. React, Vue.js, HTML/CSS, TypeScript)
• Experience in Docker/Kubernetes for deploying production grade applications
• Strong presentation skills and ability to explain technical concepts clearly to a non-technical audience
• Experience with harness engineering, context engineering techniques and prompt optimization strategies
• Proficient in git, SQL, modern programming languages (e.g. typescript, C#)
• Proficient in Business Intelligence tools (e.g. Tableau, Qlik, MS PowerBI, Microstrategy)