AI / ML Engineer

nSearch Global Pte Ltd.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

nSearch Global Pte Ltd. is seeking an AI/Data Science lead to collaborate with business users, understand priorities, and develop solutions using data science and Generative AI to drive business value.

You will deploy AI applications on our in-house platform, research techniques like LLM, vector embeddings and RAG, and build backend APIs and frontend interfaces for AI-powered applications. Candidates should have a CS/DS degree, AWS experience, and strong skills in Python/Typescript,

Qualifications

• Degree in Computer Science, Computer Engineering, Data Science or related disciplines with cloud experience (AWS).
• Understanding of LLM concepts (context windows, embeddings, RAG) and vector databases/embeddings.
• Experience with harness and prompt optimization strategies.
• Knowledge of AI agent frameworks and multi-agent systems (LangChain, LangGraph, DeepAgents).
• Experience with web frameworks and full-stack development (FastAPI/Flask/Express.js, React/HTML/CSS/TypeScript) and REST APIs.
• Experience with Docker/Kubernetes for production deployments and BI tools (Tableau, Power BI).

Responsibilities

• Collaborate with business users to understand priorities and use cases.
• Develop solutions using data science and Generative AI to drive business value.
• Build portfolio of AI applications and data science models on our in-house platform.
• Research emerging AI techniques (Agentic, LLM, Predictive, Fraud/Anomaly) to explore and adopt.
• Data wrangling, preprocessing, and feature engineering for model pipelines.
• Develop backend APIs/services to support AI deployment and integration.
• Build frontend interfaces and user experiences for AI-powered applications.

Skills

Cloud platforms (AWS)

LLM concepts

Vector databases

Prompt engineering

LangChain / multi-agent systems

Full-stack development

API development

Docker / Kubernetes

Git / SQL

BI tools

Education

Degree in Computer Science / Computer Engineering / Data Science

Tools

LangChain

LangGraph

DeepAgents

FastAPI

React

Express.js

HTML/CSS

TypeScript

Docker

Kubernetes

Job description

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

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

Requirements:

• Degree in Computer Science, Computer Engineering, Data Science or related disciplines with 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#) and in Business Intelligence tools (e.g. Tableau, Qlik, MS Power BI, MicroStrategy)

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