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Salary
≈ $61k – $131k per year (Estimated)
Location
In office (Singapore)
Seniority
Senior · 3+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Jul 25, 2025. Centre for Strategic Infocomm Technologies scores C on the Alion truth index.

Overview
Company
Impact
Profile match
The Centre for Strategic Infocomm Technologies is a Singapore government agency under the Ministry of Defence and a member of the Defence Technology Community. It builds advanced cybersecurity and secure digital systems that safeguard national security, conducting applied research in cybersecurity and developing artificial intelligence and data exploitation tools inside a self-built secure cloud environment. Its engineering work spans cybersecurity, artificial intelligence, data and software engineering and cloud infrastructure, and it recruits through undergraduate, diploma and computing scholarships as well as a traineeship.

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
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