AI Engineer, Responsible AI #GovTechForPublicGood

4 days ago


Singapore Government Technology Agency of Singapore (GovTech) Full time

Description and Requirements
The Government Technology Agency (GovTech) is the lead agency driving Singapore’s Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS), GovTech develops the Singapore Government’s capabilities in Data Science & Artificial Intelligence, Application Development, Smart City Technology, Digital Infrastructure, and Cybersecurity.
At GovTech, we offer you a purposeful career to make lives better. We empower our people to master their craft through continuous and robust learning and development opportunities all year round. Our GovTechies embody our Agile, Bold and Collaborative values to deliver impactful solutions.
GovTech aims to transform the delivery of Government digital services by taking an "outside-in" view, putting citizens and businesses at the heart of everything we do.
Play a part in Singapore’s vision to build a Smart Nation and embark on your meaningful journey to build tech for public good. Join us to advance our mission and shape your future with us today
Who we are
The Responsible AI team, part of GovTech's Artificial Intelligence Tech Practice, seeks to develop technical capabilities to ensure AI systems are safe, trustworthy, and ethical. We aim to be at the forefront of the AI safety and responsible AI space through learning, experimentation, and iteration.
Our specific focus areas are (1) conducting safety testing of LLM/MLM systems and fairness assessments of high-impact AI systems, (2) developing safety guardrails for government LLM/MLM systems, and (3) improving understanding of responsible AI across the public sector. We work closely with AI product teams to enable them to meet AI safety and responsible AI standards with ease.
What you will be working on :
AI Engineers in the Responsible AI team will focus on executing safety testing of LLM systems and to develop the corresponding safety guardrails. You will experiment with the latest open-source tools, develop your own, and apply them to real LLM products launched across the government. Where necessary, you will also have the opportunity to finetune new models for safety alignment to support internal safety needs.
In addition, you will work closely with AI product teams and other public officers to help them understand responsible AI at a deeper level, and to help them adopt safety testing and guardrails into their own products.
To do this well, we collaborate with many technical partners, including the private sector, academic institutions, and international players. We also aim to share our expertise with the wider community, so you will have the chance to present our work and show how we are leading the way in LLM safety testing and guardrails.
Who we are looking for
Strong backend programming skills in Python, especially in API development and ML performance optimisation
Demonstrated experience with cloud deployments, especially on AWS
Strong technical understanding of LLMs, especially how they work, how to do prompt engineering effectively, and how to build apps with them
Strong interest in AI safety or responsible AI, especially given the need to read up independently on these areas and continuously explore and experiment
Self-motivated, thinks proactively and creatively about how to solve challenges
Desire to build tech for the public good
We also have a strong preference for any applicant with informal or formal experience with any of the work below:
Conducting LLM safety testing, including jailbreaking or prompt injections
Developing guardrails for LLMs or using equivalent tools (eg NeMo, LLM-Guard)
Building and deploying performant LLM-based applications
Our employee benefits are based on a total rewards approach, offering a holistic and market-competitive suite of perks. These include leave benefits to meet your work-life needs and employee wellness programmes.
We champion flexible work arrangements (subject to your job role) and trust that you will manage your own time to deliver your best, wherever you are, and whatever works best for you.
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