At a glanceSummarised by Seekless from the posting.
Must have7
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 have3
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
Eligibility1
Only Singapore Citizens will be considered
Skills
Python
Java
RDBMS
NoSQL
vector scores
CI/CD
Docker
Kubernetes
Flask
FastAPI
vLLM
About the role
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
Legal
As CSIT is an agency under the Ministry of Defence (Singapore), only Singapore Citizens will be considered.