Generative AI Engineer: Build & Deploy AI Solutions

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

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.