Applied AI Engineer, Robotics
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Looking for an AI engineer job in Singapore? Choose from 26 open roles at 14 employers. Explore real salary data and skills breakdown across remote, hybrid and on-site roles.
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In the week to 27 September, 25 AI engineer roles were open in Singapore at 13 employers. 5 new roles were posted during the week. Of the roles that say how they work, 12% are remote or hybrid.
AI engineer roles make up a small share of all listings on the board in Singapore. Among those with seniority stated, the majority are pitched at lead level, with the remainder at senior level — there are no entry-level or mid-level roles among those stating seniority. Hiring is concentrated, with most roles sitting at a handful of employers. The freshness of postings is mixed: a sizeable portion have been on the board for a month or more, while a fair share appeared within the last week or two. There is not enough weekly history yet to describe a trend over time. Python and large language models are the most commonly mentioned skills, followed closely by agents and APIs, suggesting that current demand centres on applied generative AI work rather than broader data engineering.
Figures are measured every Monday.
AI engineers build, integrate and maintain machine learning and AI systems in production. The work sits between research and software engineering: turning models into reliable services, building pipelines, managing APIs and ensuring that systems behave predictably at scale. In Singapore, this role appears across financial services, consumer technology and research-adjacent organisations. Institutions such as A*STAR's Centre for Frontier AI Research and the national AI Singapore programme reflect a local emphasis on applied and foundational AI. The concentration of technology companies at one-north, and the presence of organisations such as Sea Limited in that precinct, means AI engineers here often work in environments where scale, reliability and deployment speed matter as much as model quality.
Python is mentioned in most role descriptions, making it the clear baseline. Large language models, agent frameworks and API integration appear in the majority of descriptions, pointing firmly toward generative AI and agentic system work. Evaluation skills — testing and measuring model behaviour — appear in nearly half. A smaller but notable share of descriptions mention cloud infrastructure, CI/CD practices, SQL and data processing tools such as Spark, suggesting that production-readiness and data pipeline work also feature in many of these roles.
The employers' own advertised ranges, for individual roles at different levels — not an average and not a market rate.
Among roles that state a working arrangement, a large majority are fully on-site, with about a fifth offering hybrid arrangements. No roles listed here are fully remote. Candidates should expect employers in Singapore to favour in-person attendance, which is consistent with the dense, campus-style work environments found at places such as one-north.
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