Written by Lucius Chee Zihan.
What AI Engineer Singapore Revealed About the Future of AI Builders
6 min read · Part of Sponsoring students at AIE became a test of Singapore's AI ambition
Written by Lucius Chee Zihan.
6 min read · Part of Sponsoring students at AIE became a test of Singapore's AI ambition
Today’s AI landscape is evolving at an extraordinary pace. Across research labs, startups, and infrastructure companies, builders are pushing the boundaries of what AI systems can do, from agentic workflows and robotics to multimodal interfaces and developer tooling. New models, products, and frameworks are released almost daily, turning the ecosystem into a fast-moving global network of researchers, engineers, founders, and creators.
As one of the student attendees sponsored by various builders around the community, I had the opportunity to experience this momentum firsthand. The three-day conference offered a snapshot of how the industry itself is evolving. From agentic coding and AI infrastructure to robotics and design, the conference covered a wide spectrum of topics that reflected where the frontier of AI engineering is heading. More importantly, it brought together not just companies and researchers, but a growing global community of builders actively shaping the next generation of AI systems.
What stood out was that the content delivered wasn’t only about the best models or industry speculation, they were also focused on optimisation, efficiency, security, and reliability. Take for example Daria Soboleva from Cerebras, who presented on re-architecting the software and hardware used to train Mixture-of-Expert models at scale with Cerebras’ WSE AI accelerators, or Gavriel Cohen from NanoCo, who presented about securely using AI agents with NanoClaw.
From the talks, it was clear that the future of AI isn’t just deploying the largest models, it was about turning those models into dependable products, unlocking greater value for consumers and enterprise alike.
Another strong theme was the transformation of software development itself. Talks from OpenAI’s Codex, Cursor, Exa, and Cognition, just to name a few, illustrated the evolution of coding agents from the early days of code autocomplete, to agentic systems capable of building fully-featured applications, work on large codebases, and run for long-horizon tasks. Shawn Wang (swyx), the founder of the worldwide AI Engineer movement and advisor at Cognition, talked about the progression of agents from scaling LLM capabilities in the past decade to building and improving agents in the future, and rise of the AI engineer role, building agents and managing AI infrastructure. Max Buckley from Exa described the industry's shift from coding as the bottleneck of development to product thinking as the key differentiator.
After witnessing this first-hand, it is clear that the role of the software engineer is slowly but surely shifting from writing every single line of code to orchestrating systems, evaluating outputs, defining product intent, and integrating agents to development pipelines.
The acceleration and improvement of these tools are only going to get better, and adoption by engineers will be inevitable because of the massive productivity and efficiency gains realized.
The conference also reflected another trend: Singapore's position as a global hub for AI. Throughout the event, companies, researchers and builders from both East and West, and even from Singapore itself, came together to exchange ideas, showcase technologies, and discuss the future direction of the industry. In many ways, this is made possible by Singapore’s unique position at the crossroads of global powers.
This was perhaps best represented by the diversity of the companies present. Companies from all around the world, from the US (OpenAI, Google DeepMind), China (Z.AI, MiniMax), other parts of the world (Sakana, NanoCo), and even Singapore itself (GovTech, Menlo Research) shared the stage to present their innovative ideas and research.
Just a few days ago, DPM Gan Kim Yong said at the Future Economy Conference: "Singapore does not need to compete by building the biggest frontier models or the largest data centres. Our advantage lies elsewhere. We can become one of the best places in the world to develop, test and deploy AI solutions that solve real-world problems at scale." AI Engineer Singapore just proved that.
Through the talks and discussions at the conference, another trend became increasingly apparent: AI is no longer confined to a single domain, but is rapidly expanding across multiple disciplines. The breadth of topics covered reflected this clearly, ranging from software engineering and cybersecurity to design, infrastructure, and robotics. Rather than existing as isolated fields, AI is increasingly becoming a foundational layer integrated into many different industries and workflows.
Even Singapore’s Foreign Minister, Vivian Balakrishnan, demonstrated how he uses AI agents such as NanoClaw to support aspects of his work. That moment stood out not simply because of the technology itself, but because it illustrated how AI tools are beginning to move beyond technical circles into broader real-world applications, including leadership, policy, and decision-making contexts.
As a student attendee, the conversations I had with the industry professionals present was equally enthralling. Experts from leading research labs and companies shared exclusive insights on the industry on frontier models, scaling, optimisation and more.
Daria Soboleva, Head Research Scientist at Cerebras shared her perspective on moving towards specialisation of experts in Mixture-of-Experts models, given specialised hardware to eliminate the communication and load-balancing bottleneck common in GPUs which make this possible. Sara Hooker, co-founder of Adaption, who discussed the trend of frontier AI research from industry, and efforts to democratise AI research.
Perspectives from the media also reflect the same trend. Over the chats I had with multiple journalists well-versed in technology, I also learnt about many trends in the industry. Shuby Goel from Business Insider discussed the state of agentic coding tools and viability of companies in the fast-paced, competitive market. Bhavan Jaipragas, deputy opinion editor from the Straits Times commented about AI’s effect on the job market and the need for upskilling to keep pace with innovations.
These conversations opened up new perspectives on AI, and that continuous learning, experimentation, and adaptability are paramount for anyone hoping to contribute to the next generation of AI systems.
AI Engineer Singapore showcased the future of building with AI is multi-faceted, and filled with builders all around the ecosystem building products and innovations around the latest models. The event underscored the rapid evolution of the industry and the growing importance of AI engineers.
If there’s one lesson I’m taking with me, it is that the drive to build and innovate will take one far in their journey in AI.