AI Engineer

NSEARCH GLOBAL PTE. LTD.; Singapore; On-site; SGD 120,000 - 190,000; Full time

Job summary

NSEARCH GLOBAL PTE. LTD. is seeking an AI Engineer to collaborate with business users and develop AI-powered solutions.

You will work on deploying AI applications, building backend APIs, and creating frontend interfaces while researching new techniques and ensuring security best practices. The role requires a Bachelor’s in CS/CE/ML/AI or related field and hands-on experience with cloud platforms (AWS), LLMs, and modern web stacks.

Qualifications

• Bachelor's degree in CS/CE/ML/AI or related disciplines.
• Experience with cloud platforms (AWS preferred).
• Understanding of LLM concepts (context windows, embeddings, token management) and architectures (e.g., RAG).
• Knowledge of vector databases and embedding techniques.
• Familiarity with agent frameworks and multi-agent systems.

Responsibilities

• Collaborating with business users to understand priorities and use cases.
• Proposing and developing data science and Generative AI solutions to drive business value.
• Building a portfolio of deployed AI applications and data science models, including in-house agentic platform.
• Researching emerging AI techniques and identifying relevant ones to explore and adopt.
• Data wrangling, 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 security vulnerabilities.

Skills

Data science

Generative AI

LLM concepts

Prompt optimization

Context engineering

Agent frameworks

Web frameworks

RESTful API development

Frontend tech

Docker & Kubernetes

Git

SQL

TypeScript & C#

BI tools

Education

Bachelor’s Degree in Computer Science/Computer Engineering/Machine Learning / Data Science / AI or related

Tools

LangChain

LangGraph

DeepAgents

FastAPI

Flask

Express.js

React

Vue.js

HTML/CSS

TypeScript

Docker

Kubernetes

SQL databases

Job description

Our client, one of Asia-Pacific’s leading organizations is looking for:

AI Engineer

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
• Researching emerging AI/data science techniques and identifying relevant ones to explore and adopt (e.g. Agentic, LLM, Predictive, Fraud/Anomaly Detection, Text Analytics, Customer Segmentation)
• 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

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
• Experience with harness engineering, context engineering techniques and prompt optimization strategies
• 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
• Proficient in git, SQL, modern programming languages (e.g. typescript, C#)
• Proficient in Business Intelligence tools (e.g. Tableau, Qlik, MS PowerBI, Microstrategy)

Only shortlisted candidates will be notified.

By submitting your resume and cover letter to apply for our job opening, you confirm that you have read the Data Protection Notice for Job Applicants (https://www.nsearchglobal.com/dp-notice/job-applicants) and you consent to the collection, use, and disclosure of your personal data for the purpose of verifying and evaluating your job application. Additionally, you have to notify and obtain consent from all individuals listed as your references to their data being collected and disclosed for the purposes related to your job application.