AI Engineer (1-year Fixed Term Contract)

NEUTRON PTE. LTD.; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

NEUTRON PTE. LTD. seeks an AI Engineer to design and deploy Generative AI and data science solutions across multiple divisions in Singapore. You will work with stakeholders to translate needs into technical requirements, build AI models, and deliver measurable outcomes.

The role covers data wrangling, API/frontend development, and deployment on cloud platforms with emphasis on security and scalable architectures. A strong foundation in machine learning and full-stack skills is required.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, ML/Data Science, AI or related disciplines.
• Experience with cloud platforms, preferably AWS.
• Understanding of LLM concepts (context windows, embeddings, token management) and architectures (RAG).
• Knowledge of vector databases and embedding techniques.
• Experience with agent and multi-agent frameworks (LangChain, LangGraph, DeepAgents).

Responsibilities

• Collaborate with business users to understand priorities and use cases.
• Propose and develop data science/Generative AI solutions to create business value.
• Build AI applications and data science models, including in-house agentic platform.
• Research and adopt emerging AI/data science techniques (Agentic, LLM, Predictive, Fraud/Anomaly, Text Analytics).
• Data wrangling, preprocessing, cleaning and feature engineering.
• Develop backend APIs and services to deploy AI models and enable integration.
• Create frontend interfaces and user experiences for AI-powered apps.
• Review and fix security vulnerabilities in AI deployments.

Skills

Cloud platforms

LLM concepts

Vector databases

Agentic frameworks

Multi-agent systems

Full-stack development

RESTful API development

Frontend technologies

Docker/Kubernetes

Git

SQL

Programming languages (TypeScript, C#)

BI tools

Communication & presentation

Education

Bachelor's Degree in Computer Science / Computer Engineering / ML/Data Science / AI or related

Tools

FastAPI

Flask

Express.js

React

Vue.js

HTML/CSS

TypeScript

Docker

Kubernetes

Git

SQL

Job description

About the role

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.

Key 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 EDB's portfolio of deployed AI applications and data science models, including in-house agentic platform
• 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)
• 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

About you

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