AI-Driven Fullstack Engineer

United States Digital Space LLC; Singapore; On-site; SGD 72,055 - 93,672; Full time

Job summary

Our Client is seeking a Fullstack Engineer (AI Engineer) to design, build and deploy production-grade software enabling AI solutions with real-world impact. You will work with data scientists and business stakeholders to operationalise ML and generative AI within a secure, scalable, cloud-native stack.

You will develop web applications, APIs and backend services, integrating LLMs, vector databases and agent frameworks while maintaining CI/CD and automated testing.

Qualifications

• Degree in Computer Science, Software Engineering, Information Systems or a related discipline.
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Responsibilities

• Design, develop and maintain production-grade software systems powering AI and data science solutions.
• Develop web applications, APIs, backend services, frontend and platforms for AI product deployment.
• Build scalable AI applications by integrating LLMs, retrieval systems, vector databases and agent frameworks.
• Collaborate with data scientists to operationalise machine learning and generative AI capabilities.
• Engineer secure, reliable software using CI/CD, automated testing, containerisation, infrastructure-as-code, and cloud-native architectures.
• Contribute to reusable frameworks, internal libraries, developer tools and engineering best practices.
• Monitor, troubleshoot and improve deployed AI systems for performance, scalability, security and reliability.
• Stay updated with new software and AI technologies and evaluate new tools/frameworks.

Skills

Python proficiency

Full-stack development

AI engineering concepts

Cloud-native architectures

CI/CD and automated testing

Excellent communication

Education

Degree in Computer Science, Software Engineering, Information Systems or related

Tools

FastAPI

Flask

Django

React

Docker

Kubernetes

LangChain / LangGraph

Job description

Our Client is seeking a Fullstack Engineer (AI Engineer) to design, build and deploy production-grade software enabling AI solutions with real-world impact. You will work with data scientists and business stakeholders to operationalise ML and generative AI within a secure, scalable, cloud-native stack.

You will develop web applications, APIs and backend services, integrating LLMs, vector databases and agent frameworks while maintaining CI/CD and automated testing.