Fullstack Engineer (AI 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

Fullstack Engineer (AI Engineer)

Role Overview

As a software engineer at our Client’s organisation, you will be responsible for designing, building and deploying production‑grade software systems that enable AI solutions to deliver real‑world impact.

You will leverage modern software engineering practices and AI technologies to develop scalable, secure and reliable applications.

You will work closely with data scientists, AI engineers and business stakeholders to operationalise machine learning and generative AI solutions across our Client.

About Us

• Our Client’s AI and Data Department sets the standards of excellence for artificial intelligence at the agency.
• Our team comprises seasoned data scientists, AI engineers and software engineers working together to solve our Client's most challenging business problems using data and AI.
• By joining us, you will be part of a dynamic team that's always learning and always challenging ourselves to do our best for the public good.

What You Will Do

• Design, develop and maintain production‑grade software systems that power our Client's AI and data science solutions.
• Develop web applications, APIs, backend services, frontend, and platforms that enable the deployment and adoption of AI products across the agency.
• Build scalable AI applications by integrating:
  • Large language models (LLMs)
  • Retrieval systems
  • Vector databases
  • Agent frameworks
  • Other modern AI technologies
• Work closely with data scientists to operationalise:
  • Machine learning capabilities
  • Generative AI capabilities
• Engineer secure, reliable and maintainable software using modern development practices, including:
  • CI/CD
  • Automated testing
  • Containerisation
  • Infrastructure‑as‑code
  • Cloud‑native architectures
• Contribute to the evolution of our Client's AI engineering capabilities by:
  • Developing reusable frameworks
  • Building internal libraries
  • Creating developer tools
  • Establishing engineering best practices
  • Accelerating AI solution delivery across the agency
• Monitor, troubleshoot and continuously improve deployed AI systems to ensure:
  • Performance
  • Scalability
  • Security
  • Operational reliability
• Keep abreast of emerging software engineering and AI technologies.
• Evaluate new tools and frameworks that can improve our Client's AI development capabilities.

Pre-Requisites for the Role

• Degree in Computer Science, Software Engineering, Information Systems or a related discipline.
• Strong software engineering fundamentals, including:
  • Object‑oriented programming
  • Software architecture
  • Design patterns
  • Clean coding practices
• Strong proficiency in Python and experience with modern backend frameworks (e.g. FastAPI, Flask, Django, React).
• Experience building full‑stack applications, including:
  • RESTful APIs
  • Authentication
  • Databases
  • Frontend integration
• Experience developing cloud‑native applications using platforms such as:
  • AWS
  • Azure
  • Google Cloud Platform
• Familiarity with containerisation and deployment technologies such as:
  • Docker
  • Kubernetes
  • CI/CD pipelines
• Familiarity with AI engineering concepts such as:
  • LLMs
  • Retrieval‑Augmented Generation (RAG)
  • Embeddings
  • Vector databases
  • Agentic workflows
  • AI orchestration frameworks (e.g. LangChain, LangGraph or similar)
• Strong analytical and problem‑solving skills with the ability to translate complex business requirements into scalable software solutions.
• Excellent communication skills and ability to work effectively within multidisciplinary teams comprising:
  • Software engineers
  • Data scientists
  • Business stakeholders
  • IT partners

Pay: $5,000.00 - $6,500.00 per month

Work Location: In person