M01 - AI Engineer

FPT Software; Singapore; Vor Ort; SGD 110.000 - 180.000; Vollzeit

Zusammenfassung

FPT Software in Singapore seeks an experienced AI Engineer to design and deliver AI and machine learning solutions across business units. You will translate user needs into technical requirements, build deployed AI applications, and integrate with data science models on our portfolio platform.

You will work with cloud services (AWS), understand LLM concepts, and implement scalable APIs and frontend interfaces. Collaboration with stakeholders and a focus on security are essential for success.

Qualifikationen

• Bachelor's degree in computer science, computer engineering, ML/DS or related field.
• Experience with cloud platforms, preferably AWS.
• Knowledge of LLM concepts, context windows, embeddings and RAG architectures.
• Familiarity with vector databases and embedding techniques.
• Experience with AI agent frameworks (LangChain, LangGraph, DeepAgents).
• Full-stack development experience: backend (FastAPI/Flask/Express) and frontend (React/Vue/HTML/CSS/TypeScript).
• Docker/Kubernetes for deploying production-grade apps.
• Strong ability to explain technical concepts to non-technical stakeholders.
• Experience with prompt engineering, context engineering and harness techniques.
• Proficient with Git, SQL, languages like TypeScript, C#.
• Experience with BI tools (Tableau, PowerBI, etc.).

Aufgaben

• Collaborate with business users to identify priority AI use cases.
• Develop solutions using data science and Generative AI to create business value.
• Build and deploy AI applications and data science models (in-house agentic platform).
• Data wrangling: preprocessing, cleaning and feature engineering.
• Develop backend APIs and services for AI model deployment and integration.
• Create frontend interfaces and user experiences for AI-powered apps.
• Review and fix security vulnerabilities in deployed systems.
• Research emerging AI/data science techniques and assess relevance for adoption.

Kenntnisse

Generative AI

Data science

AWS

LLM concepts

LangChain

LangGraph

DeepAgents

RESTful API design

Frontend UX

React

Vue.js

TypeScript

Docker

Kubernetes

Git

SQL

C#

BI tools

Ausbildung

Bachelor's Degree in CS/CE/ML/AI

Tools

FastAPI

Flask

Express.js

React

Vue.js

HTML/CSS

TypeScript

Docker

Kubernetes

Git

SQL

Jobbeschreibung

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)