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Singapore Institute of Technology Linkedin · Posted 2mo ago

Software Engineer (AI Systems), Centralised Skills Assessment and Validation Initiative (CSAVI)

Singapore, Central Singapore, Singapore

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Job Description

Software Engineer (AI Systems), Centralised Skills Assessment and Validation Initiative (CSAVI)

Posting Start Date: 16/06/2026

Schemes of Service: Corporate

Division: SIT Teaching and Learning Academy

Employment Type: Fixed Term

About The Role

We are running a skills assessment centre to enhance sector-specific assessments and support Singapore’s goal of a skills-based workforce. As the operational backbone of the assessment center, we are building a next-generation AI-powered skills assessment system for adult learners.

We are looking for a junior to mid-level software engineer to join the team and help design and build a scalable, production-ready platform.

Key Responsibilities

  • Design and develop backend services (Python, FastAPI or similar)
  • Build and maintain RESTful APIs
  • Design and manage database systems
  • Contribute to system architecture design, including:
    • Modular and extensible system components
    • Support for multiple interaction types (e.g., form-based, conversational)
    • Clean abstraction for AI components
  • Integrate AI capabilities into the system, including:
    • LLM-based features (e.g., question generation, feedback, interaction)
    • AI-driven workflows within the platform
  • Oversee integration between backend, frontend, and AI components
  • Lead and guide student developers across different modules
  • Support deployment and system maintenance (Docker, AWS)
Job Requirements

  • Experience in backend software development in a professional or project setting.
  • Strong programming skills in Python.
  • Experience with backend frameworks (FastAPI, Flask, Django).
  • Knowledge of RESTful API design and system architecture.
  • Experience with relational databases (PostgreSQL preferred).
  • Familiarity with cloud deployment environments (AWS or similar).
  • Advantageous: experience with LLM APIs, AI systems, modular architectures, or interactive systems.
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