AI Engineer (AIAP)

AISG is a national initiative driven by the Ministry of Digital Development and Information (MDDI), the Infocomm Media Development Authority (IMDA), and the National Research Foundation, Singapore (NRF). AISG brings together Singapore-based research institutions and the broader ecosystem of AI start-ups and companies to support impactful research, develop talent and power Singapore's AI efforts. For more information on AI Singapore, please visit https://www.aisingapore.org . This position will be hosted at the Nanyang Technological University (NTU) under VP (Artificial Intelligence & Digital Economy)'s office and we welcome you to join our community. The AI Apprenticeship Programme (AIAP) is a flagship initiative aimed at grooming local AI talent. We are looking for a driven AI Engineer to execute our programmes, lead AI-based projects, and spearhead the development of cutting-edge AI technologies.

We welcome applicants from all disciplines and qualifications - including NITEC, Diploma, and Degree holders - who can demonstrate the following skills: •

Have a strong portfolio of AI/ML project(s) that showcases ability to deliver solutions from scoping and data analysis through to deployment and documentation. •

Possess deep, practical knowledge of machine learning fundamentals, with proven experience applying algorithms to solve problems in areas like NLP, Computer Vision, or on tabular data. •

Hands-on experience building production LLM applications and designing agentic systems: prompt and context engineering, retrieval-augmented generation (including graph-based retrieval), tool use, state and control flow design, orchestration frameworks, and the tracing, guardrails, and evaluations that make them reliable. Basic knowledge of fine-tuning, parameter-efficient adaptation, dataset construction, and evaluation. •

Proven ability to qualify a use case before development begins, assessing whether the business pain is real, whether the data is approved, representative and current, and whether GenAI is the appropriate tool at all. Comfortable reducing an ambitious business brief to a technical scope that is both useful and deliverable within a fixed timeline, and confident raising the case for changing direction early. •

Demonstrates expert-level Python skills and a strong commitment to Software Engineering best practices, writing code that is clean, modular, and maintainable. •

Highly fluent with agentic coding tools, and able to use them to ship at speed across unfamiliar codebases. Equally able to hold engineering judgement at the points that matter, reviewing, rejecting, and rewriting generated code rather than shipping it unexamined. •

Fluent in the essential MLOps toolkit, including Git, Docker, and CI/CD principles. Have experience building data and model pipelines on at least one major cloud platform (AWS, Azure, or GCP). •

Eager to develop AI talent across the full range, from apprentices to industry professionals learning to build for the first time, and to contribute to AISG Innovation's collaborative and supportive team culture. •

Can articulate complex technical ideas to both technical and non-technical audiences with clarity and confidence. Comfortable guiding learners to build solutions themselves rather than building on their behalf. •

Possess a strong sense of curiosity and are driven to stay current in the fast-evolving world of artificial intelligence. We regret that only shortlisted candidates will be notified. Hiring Institution: NTU