Senior Software Engineer (AI Engineering)

csit
Singapore, Singapore
On-site
Full-time
Posted 4 months ago
Software Engineering

Job Description

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.

Requirements (Minimum Qualifications)

  • Degree 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

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
As CSIT is an agency under the Ministry of Defence (Singapore), only Singapore Citizens will be considered.

Responsibilities

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

Requirements (Minimum Qualifications)

  • Degree 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

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