Job Description
AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI).
The programme office is hosted by the National University of Singapore (NUS) and brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI solutions to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts.
The Products pillar of AI Singapore currently aims to build a set of open-source Large Language Models (LLMs), including data and evaluation metrics, that expand the linguistic and cultural representation of Southeast Asian languages in the generative AI space.
We are looking for a full stack engineer who will join a team of AI scientists, data and software engineers to
develop infrastructure and tools to assist with internal model experimentation and training efforts
experiment and build end-to-end proof-of-concept solutions that can advocate how Singapore companies can improve their businesses using AI
A more senior candidate is expected to provide technical leadership, engage stakeholders, mentor and guide junior engineers in the projects.
Duties & Responsibilities
1. Develop new and re-iterate on existing web/system applications using software engineering best practices and AI technologies
2. Collaborate with cross-functional teams to design and resolve issues
3. Utilise problem-solving skills to address and resolve user issues, with a focus on empathy
4. Maintain code repository and documentation standards
5. Contribute to community engagement activities such as sharing via technical session meetups and article write-ups, and participating in discussion forums
6. Self-learn, experiment and evaluate new technical frameworks and technologies
Qualifications
1. Degree in computer science, machine learning, AI, and other relevant equivalent quantitative fields
2. Experience in writing production level code in Python and Next.js/React
3. Strong background in other programming languages, especially in web application development, will be advantageous
4. Experience in using deployment tools such as Docker
5. Previous experience in deployment on cloud platforms (AWS/GCP/Azure) and/or edge devices will be advantageous
6. Previous working experience in Large Language Models will be advantageous
7. Previous working experience with Agile methodologies will be advantageous
8. Data storytelling, information visualisation/UX and technical writing skills
9. Candidates with an active GitHub profile demonstrating relevant projects are strongly preferred
More Information
Location: Kent Ridge Campus
Organization: Office of the Deputy President(Res&Tech)
Department : AI Singapore
Employee Referral Eligible: No
Job requisition ID : 23700