Senior Software Engineer (AI Engineering)
On-site Singapore, Singapore Full-time Senior AI Engineering
At a glance
Senior AI Engineering role at Centre for Strategic Infocomm Technologies. Singapore, Singapore · full-time.
Pay not stated AI Engineering salary
RoleAI Engineering
SenioritySenior
LocationSingapore, Singapore
WorkplaceOn-site
EmploymentFull-time
PostedJul 25, 2025 · 1y ago
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Shape the direction of applications and pipelines, then build them to support production AI services
- Deploy and look after AI/ML services, keeping their performance and reliability in view
- Write, test and maintain production code using unit, integration and performance checks
- Work with data scientists, product engineers and users to deliver new AI capabilities
What you bring
- A quantitative degree or professional qualification, plus at least three years of relevant work experience
- Proficiency in Python, Java or a comparable programming language
- Hands-on experience with databases, software deployment and container platforms
- Understanding of domain-driven design, microservices and service-oriented architectures
- You have led technical work by mentoring engineers or coordinating with other engineering teams
Who this fits
You’ll suit a senior engineering role that combines production AI services, application and pipeline development, and collaboration with data scientists and product engineers. The position is on-site in Singapore, and only Singapore citizens can be considered.
From the employer
As a Software Engineer in the AI Engineering team, you will develop, deploy and maintain applications, AI/ML services (e.g. LLM services) and data pipelines that support production AI services at scale as well as provide development tooling for our data scientists and product engineers. You will be responsible for designing and developing them in a performant, reliable and maintainable manner while leveraging pragmatic unit, integration and performance testing.
Responsibilities
- Influence the roadmap and development of applications and pipelines
- Deploy and maintain performant AI/ML services
- Design, develop, deploy and maintain high-quality code following engineering and testing best practices
- Work with data scientists, product engineers and users to enable new AI capabilities
Requirements (Minimum Qualifications)
- A degree or professional qualification in quantitative field (e.g. Engineering, Computer Science, Mathematics, Physics etc) and 3 or more years of relevant work experience
- Proficiency in Python, Java or similar programming languages
- Practical experience with databases such as RDBMS, NoSQL, vector scores
- Experience in software deployment, including with tools for CI/CD and other deployment processes
- Familiarity with containerization and container orchestration platforms (e.g. Docker, Kubernetes)
- Good understanding of domain-driven design, microservice patterns and service-oriented architectures
- Technical leadership experience such as mentoring other engineers or driving collaborations with other engineering teams
Nice to Have
- Experience with Python web frameworks (e.g. Flask, FastAPI)
- Experience in designing and maintaining data pipelines with high reliability/throughput requirements
- Experience with deploying and maintaining AI/ML services (e.g. deploying LLM services via vLLM) for high reliability/throughput use cases