AI Engineer, Full Stack

Nanyang Technological University Singapore; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

Nanyang Technological University Singapore is seeking a Full Stack AI Engineer to join the data platform team within AI Products. This role involves developing full stack solutions, utilizing AI tools, and maintaining platform deployment across Google Cloud Platform and AWS.

The ideal candidate should possess a degree in Computer Science or Information Technology, with 2-3 years of relevant experience. Strong communication skills and experience in AI/ML workflows will be essential for success in this collaborative position.

Qualifications

• 2-3 years of full stack development experience, shipping production features.
• Experience deploying applications on GCP and AWS.
• Familiarity with AI/ML evaluation and data annotation workflows.

Responsibilities

• Design, build, and maintain modules of the data platform.
• Participate in code reviews and contribute to technical documentation.
• Work closely with Project Managers and data engineers.

Skills

Full stack development experience

AI tool usage

Cloud deployment (GCP, AWS)

Strong communication skills

Education

Degree in Computer Science or Information Technology

Tools

TypeScript

React

Python

Node.js

REST/GraphQL APIs

SQL/NoSQL

Job description

Overview

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI). Hosted by the Nanyang Technological University (NTU), AISG brings together Singapore-based research institutions and the AI ecosystem to perform use-inspired research, grow knowledge, create tools, and develop talent to power Singapore's AI efforts.

We are looking for an AI Engineer, Full Stack to join the Data Platform team within AI Products at AISG. ATLAS Data Platform supports a global effort to collect multimodal language and cultural data. You will develop modules end-to-end for this platform from UI/UX to backend services and deploy them on cloud infrastructure. You will work with AI tools in your day-to-day engineering workflow and build features that support evaluations, benchmarks, and data annotation across internal teams and external partner communities. This role requires solid engineering fundamentals, comfort across the stack, and a motivation to ship.

This position will be hosted at NTU under the VP (Artificial Intelligence & Digital Economy)’s office, and we welcome you to join our community.

Duties & Responsibilities

• Design, build, and maintain modules of the data platform across the full stack such as frontend interfaces, backend services, APIs, and data models to support multimodal data collection, curation, and access.
• Use AI tools (e.g., Claude, Copilot, Cursor) deliberately in your engineering workflow for code generation, refactoring, code review, debugging, and documentation, and help the team codify good practices around AI-assisted development.
• Write clean, well-tested, maintainable code; participate in code reviews and design discussions; and contribute to the platform's technical documentation.

Domain workstreams

• Build features and tooling that support model and data evaluations, benchmark execution, and result tracking across the platform.
• Develop interfaces and workflows for data annotation used by internal teams and external community partners including task design, quality control, reviewer workflows, and progress tracking.
• Integrate with relevant evaluation frameworks, benchmark suites, and annotation tools, and help the team make sound build-vs-adopt decisions.

Infrastructure and deployment

• Deploy and maintain platform UI/UX and backend services on Google Cloud Platform (GCP) and Amazon Web Services (AWS), including configuration, networking, and storage.
• Set up and maintain CI/CD pipelines, monitoring, logging, and alerting to ensure reliability, performance, and security across environments.
• Manage cloud resources cost-effectively, and contribute to architecture decisions on scalability, multi-region considerations, and data residency.

Collaboration and delivery

• Work closely with the Project Manager, data engineers, researchers, and external partners to translate requirements into shippable features at a steady cadence.
• Participate in incident response, post-mortems, and continuous improvement of the platform's operations.

Requirements

You should be a hands-on full stack engineer who is comfortable across frontend, backend, and cloud, and who actively uses AI tools to move faster and produce higher-quality work.

The Ideal Candidate Would Have

• A degree in Computer Science, Information Technology, or equivalent.
• Around 2-3 years of full stack development experience, shipping production features in a modern web stack (e.g., TypeScript/React on the frontend; Python or Node.js on the backend; REST/GraphQL APIs; SQL and/or NoSQL data stores).
• Hands-on experience deploying applications on GCP and AWS, including containerised workloads, managed services, and CI/CD.
• Demonstrated use of AI tools (e.g., Claude, Copilot, Cursor) in day-to-day engineering for code generation, review, debugging, and documentation with a clear sense of where they help and where they don't.
• Familiarity with data platform concepts: pipelines, storage, metadata, catalogs, and access controls.
• Working knowledge of AI/ML evaluation, benchmarking, and/or data annotation workflows, and the tooling ecosystem around them (e.g., evaluation harnesses, annotation platforms).
• Strong communication skills and the ability to work with both technical and non-technical stakeholders across cultures and time zones.
• Bonus: experience with multimodal data systems (text, audio, image, video); contributions to open-source AI/data tooling; experience operating within Singapore public sector or research programmes.

We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU