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The Role
Design, build, deploy and maintain scalable AI/ML applications, LLM services and data pipelines. Collaborate with data scientists and product engineers, ensure performant, reliable, and well-tested code, influence roadmap, and provide technical leadership and mentoring.
Summary Generated by Built In
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)
- Background 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 haves
- 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
As CSIT is an agency under the Ministry of Defence (Singapore), only Singapore Citizens will be considered.
Skills Required
- Background in a quantitative field (Engineering, Computer Science, Mathematics, Physics) and 3+ years 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 CI/CD and deployment processes
- Familiarity with containerization and container orchestration platforms (Docker, Kubernetes)
- Good understanding of domain-driven design, microservice patterns and service-oriented architectures
- Technical leadership experience such as mentoring other engineers or driving cross-team collaborations
- Only Singapore Citizens will be considered
- Experience with Python web frameworks (Flask, FastAPI)
- Experience designing and maintaining high-reliability/high-throughput data pipelines
- Experience deploying and maintaining AI/ML services (e.g., deploying LLM services via vLLM) for high reliability/throughput
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The Company
What We Do
The Centre for Strategic Infocomm Technologies (CSIT) is a technical agency in the Ministry of Defence that harnesses cutting-edge digital technologies to meet Singapore's security needs. It develops capabilities to support missions such as cyber defence, counter terrorism, and counter hostile information operations, with a technical focus on cybersecurity, data analytics, software engineering, and cloud infrastructure and services.
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