Senior Research Engineer I (Large Multimodal Models)

S-Lab for Advanced Intelligence, established in 2020, is a university laboratory at NTU focusing on research and development of cutting-edge AI technologies in computer vision, natural language processing, reinforcement learning, deep learning, and distributed computing. We aim to create impactful applications spanning various strategic areas in partnership with academic, industry, and government organizations.

Job Description:

We are seeking Senior Research Engineer to join a university-level research centre collaborating with industry. The position is for one year, renewable subject to satisfactory performance. Successful candidates will be involved in a project that is related to AI agentic Systems. The key responsibilities include the following: 

• To undertake hands-on engineering development in AI agentic systems, including system design, implementation, training, evaluation, optimization, and deployment where applicable.

• To lead the development of robust research prototypes, software systems, datasets, tools, and experimental pipelines that support the programme of research.

• To provide technical guidance, code review, and day-to-day support to junior research engineers, research staff, and students associated with the project.

• To work closely with principal investigators and project team members to translate research objectives into concrete engineering plans, milestones, experiments, and deliverables.

• To attend, contribute to, and where necessary lead relevant technical discussions, project meetings, reviews, and demonstrations.

• To ensure good engineering practices, including clean and maintainable code, proper documentation, reproducible experiments, version control, and responsible management of data and computing resources.

• To undertake any other duties relevant to the programme of research.

Job Requirements:

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, or a related discipline.

• Strong hands-on programming skills, preferably in Python and modern AI/ML development frameworks.

• Practical experience in developing AI agentic systems, including LLM-based agents, tool use, retrieval-augmented generation, planning, memory, workflow automation, or multimodal AI systems.

• Good understanding of software engineering practices, including version control, testing, documentation, and reproducible development.

• Ability to design, implement, debug, and optimize research prototypes and production-oriented systems.

• Strong problem-solving skills and ability to work independently in a fast-moving research environment.

• Good communication skills and ability to collaborate with researchers, engineers, and students.

Additional criteria:

• Experience with large language models, multimodal models, AI agents, workflow automation, or on-device/edge AI deployment is preferred.

• Prior experience contributing to research publications, open-source projects, demos, or funded research deliverables would be an advantage.

• Experience in mentoring junior engineers, students, or interns is desirable.

• Familiarity with cloud platforms, GPUs, model serving, databases, APIs, and system deployment pipelines would be beneficial.

• Strong ownership, initiative, and ability to translate research ideas into working systems and demonstrable outcomes.

We regret to inform that only shortlisted candidates will be notified.