AI Engineer

KOPI RECRUIT PTE. LTD.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

EDB is seeking an AI Engineer to develop models and products using Generative AI and data science. You will partner with stakeholders across divisions to translate business needs into technical requirements and deliver AI solutions that drive measurable outcomes.

Responsibilities include building AI applications, researching new techniques, data wrangling, and developing APIs and frontend interfaces. Strong cloud, MLOps, and security awareness are essential.

Qualifications

• Bachelor’s degree in CS/Engineering/ML or related field.
• Experience with cloud services, preferably AWS.
• Understanding of LLM concepts and architectures (RAG, embeddings).
• Familiar with vector databases and embedding techniques.
• Experience with prompt optimization and context engineering.
• Knowledge of AI agent frameworks (LangChain, LangGraph).
• Full-stack development with REST APIs and frontend techs.
• Docker/Kubernetes for deployment.

Responsibilities

• Collaborate with business users to understand priorities and use cases.
• Propose and develop data science or Generative AI solutions to drive value.
• Build and maintain AI applications and data science models.
• Research emerging AI techniques for adoption.
• Data wrangling, preprocessing and feature engineering.
• Develop backend APIs and services for AI deployment.
• Build frontend interfaces for AI-powered apps.
• Review and fix security vulnerabilities.

Skills

Communication

Presentation skills

Team collaboration

Problem solving

Non-technical storytelling

Education

Bachelor’s Degree in Computer Science/Engineering/ML or related

Tools

AWS

FastAPI/Flask/Express.js

Docker/Kubernetes

React/Vue.js/HTML/CSS/TypeScript

SQL

Git

Tableau/Qlik/PowerBI

Job description

JOB DESCRIPTION

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 EDB 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.

Your roles and responsibilities include:

• 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 our 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

JOB REQUIREMENTS

To perform this role, you must have/ be:

• 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