AI Engineer (Gen AI)

NSEARCH GLOBAL PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

NSEARCH GLOBAL PTE. LTD. in Singapore seeks an AI Engineer (Gen AI) to collaborate with business users and build a portfolio of AI applications, including an in-house agentic platform.

You will work on data wrangling, backend APIs, frontend interfaces, and security hardening while applying advanced data science and Generative AI techniques to deliver business value.

Qualifications

• Bachelor’s degree in computer science, engineering, ML/DS/AI, or related field.

Responsibilities

• Collaborating with business users to understand their key priorities and use cases.

Skills

LLM concepts

Prompt engineering

Agent frameworks

Full-stack development

REST APIs

React

TypeScript

Git

SQL

Presentation skills

Education

Bachelor's Degree in Computer Science, Computer Engineering, Machine Learning / Data Science / AI or related disciplines

Tools

AWS

Docker

Kubernetes

LangChain

LangGraph

Express.js

FastAPI

Power BI

Security testing tools

Job description

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

AI Engineer (Gen AI)

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 for 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), includingKnowledge 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, andfrontend 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)
• Strong presentation skills and ability to explain technical concepts clearly to a non-technical audience

Only shortlisted candidates will be notified.

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