AI Engineer (AIAP)

Ntu Open · verified Nov 1, 2026

NTU Main Campus Full-time Mid-level AI Engineering

At a glance

Mid-level AI Engineering role at Ntu. NTU Main Campus · full-time.

Pay not stated AI Engineer salary

RoleAI Engineering

SeniorityMid-level

LocationNTU Main Campus

EmploymentFull-time

PostedOct 27, 2026 · 5d ago

Role brief

aimlroles summary, based on the employer's posting.

What you'll do

Run work across AIAP, AIAP (Industry), LADP and AIIP, while mentoring apprentices through training and project stages
Lead AI solutions for internal and external projects, research new approaches and maintain AIAP technologies
Organise LADP enrolment rounds, revise its syllabus and contribute across Enterprise, Essentials and other programmes
Deliver talks, workshops and seminars that support industry engagement and community building

What you bring

A strong AI/ML project portfolio showing delivery from scoping and data analysis through deployment and documentation
Practical machine-learning depth, plus production experience building LLM applications and agentic systems
Expert Python ability, sound software engineering practice, and fluency with agentic coding tools
Working knowledge of Git, Docker and CI/CD, with data and model pipeline experience on AWS, Azure or GCP
You can assess use cases and data before building, mentor learners and explain technical ideas clearly

Who this fits

This mid-level role suits an engineer who can deliver applied AI work while developing apprentices and other learners. The position is hosted at NTU Main Campus in Singapore.

From the employer

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.

Key Responsibilities:

Drive tasks stemming from AIAP, AIAP (Industry), LADP, and AIIP.
Train and mentor AI apprentices during the Deep-skilling and Project phases.
Lead solution development for internal and external AI projects, performing research and maintaining AIAP technologies.
Plan and execute LADP intakes and update the LADP syllabus.
Oversee and contribute to LADP Enterprise, Essentials, and the wider portfolio of LADP programmes.
Support industry and community-building activities through talks, workshops, and seminars.

Requirements:

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

End-to-End Project Delivery: 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.
Applied Machine Learning: 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.
Generative AI & LLMs: 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.
Problem Scoping & Prioritisation: 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.
Software Engineering Excellence: Demonstrates expert-level Python skills and a strong commitment to Software Engineering best practices, writing code that is clean, modular, and maintainable.
AI-Assisted Development: 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.
MLOps & Cloud Proficiency: 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).
Passionate Mentor: 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.
Excellent Communicator: 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.
Lifelong Learner: Possess a strong sense of curiosity and are driven to stay current in the fast-evolving world of artificial intelligence.