Full-Stack Software Engineer AI & Systems (TypeScript, Next.js, C and .NET) (1 Year Contract)

About the Role We are looking for a hands-on Full-Stack Software Engineer to support the development of a next-generation AI-powered examination script digitisation platform for a Singapore public-sector organisation.

This is a broad engineering role spanning web applications, backend services, Windows desktop applications, hardware integration, cloud infrastructure, and AI-enabled document processing. You will work on systems that interface directly with high-throughput document scanners and process large volumes of examination scripts during critical operational periods.

The successful candidate should have strong software engineering fundamentals and be comfortable working across system boundaries — from frontend and backend development to desktop applications, hardware interfaces, AI services, and cloud infrastructure.

Key Responsibilities

Design, develop, and maintain full-stack applications, including frontend interfaces, backend APIs, database models, and background processing services.

Build and maintain a Windows desktop application used by operators to control document scanners, validate captured images, manage scan batches, and communicate with cloud-based services.

Integrate applications with scanner hardware and vendor SDKs, including TWAIN, ISIS, WIA, or equivalent device interfaces.

Develop robust scan-capture workflows covering image validation, error handling, retry mechanisms, batch processing, and upload to cloud storage.

Build and enhance browser-based tools for configuring and managing Optical Mark Recognition (OMR) templates and document processing workflows.

Integrate AI/ML services, including LLM APIs, computer vision, OCR/ICR, zone detection, and AI-assisted document/template processing.

Implement production-ready AI integrations covering rate limiting, retries, prompt/version management, output validation, and quality evaluation.

Design and optimise high-throughput processing pipelines capable of handling significant workload spikes during examination periods.

Implement and optimise background job queues, concurrency controls, asynchronous processing, object storage pipelines, and external service integrations.

Troubleshoot issues across application, network, operating system, hardware, and cloud boundaries.

Work closely with Product Managers, operations teams, and other stakeholders to translate operational scanning workflows into reliable software solutions.

Maintain strong engineering practices including automated testing, typed code, code reviews, CI/CD, clean API boundaries, and technical documentation.

Design solutions with appropriate consideration for scalability, reliability, maintainability, security, and operational resilience.

Requirements

Degree in Computer Science, Software Engineering, Information Technology, or a related discipline.

Strong hands-on experience in full-stack software development, covering modern web frontend development, backend APIs, and relational databases.

Strong understanding of core software engineering concepts including system design, concurrency, asynchronous programming, API design, data modelling, and distributed system behaviour.

Experience developing desktop applications using native frameworks, Electron, .NET/C#, or equivalent technologies.

Understanding of the operational considerations involved in deploying and maintaining applications on managed Windows environments.

Experience or strong interest in hardware/device integration, such as vendor SDKs, scanner interfaces, USB/serial devices, peripheral APIs, or driver-level integrations.

Experience integrating AI/ML services into production applications, including LLM APIs, OCR, computer vision, or related technologies.

Understanding of production AI considerations such as rate limits, retries, output validation, prompt/version management, and model quality evaluation.

Experience with cloud infrastructure and services, including containers, object storage, managed services, background processing, and job queues.

Strong understanding of automated testing, version control, code review, CI/CD, and production software engineering practices.

Strong troubleshooting and problem-solving skills, particularly when diagnosing issues across multiple systems or integration boundaries.

Ability to evaluate technical trade-offs and take ownership of engineering and architectural decisions.

Preferred Skills

Experience with TypeScript, Next.js, C# and .NET.

Experience developing and deploying Windows desktop applications.

Experience integrating TWAIN, ISIS, WIA, scanner SDKs, hardware devices, or vendor APIs.

Experience with OCR/ICR, Optical Mark Recognition (OMR), computer vision, or document-processing systems.

Experience building image-processing pipelines, including ingestion, validation, transformation, and storage at scale.

Experience designing systems involving queues, asynchronous processing, concurrency, and high-throughput workloads.

Experience with cloud object storage such as Amazon S3 or equivalent services.

Experience working with LLMs, AI-assisted document processing, or production AI applications.

Prior experience with the Singapore Government Tech Stack or public-sector technology projects would be advantageous.

Experience supporting high-availability or operationally critical systems where reliability and downtime have significant business impact.