Fullstack Engineer (MOE)

VINOVA PTE. LTD.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

VINOVA PTE. LTD. in Singapore seeks engineers to design and build Scanvas web platform and ScanController desktop app. You will integrate scanner hardware, cloud backends, and AI services to deliver reliable, scalable workflows for assessment operations.

We value strong fundamentals in concurrency, software hygiene, and system design, with opportunities to work across web, desktop, and AI-enabled components under pressure.

Qualifications

• Must have solid full-stack experience and ability to design scalable systems.
• Comfort building desktop applications and integrating hardware.
• Experience integrating AI/ML APIs into production systems.
• Familiarity with cloud services and storage pipelines.
• Strong understanding of software hygiene and maintainable code.
• Ability to reason about algorithmic complexity and concurrency.

Responsibilities

• Build and maintain the Scanvas web platform — API routes, background job queues, database models, and the canvas-based template editor used to configure OMR zones.
• Build and maintain the ScanController desktop application interfacing with scanner hardware and cloud backend.
• Integrate scanner hardware (SDKs, drivers) and scan-capture pipelines for quality and error handling.
• Integrate AI services: LLM APIs for template generation, CV for zone detection, and OCR/ICR for handwritten and typed responses.
• Design for throughput: manage job queues, concurrency limits, rate-limiting external AI calls, and S3 storage pipelines.
• Collaborate with Product Manager and operations to turn real workflows into trusted software, with strong engineering discipline (TDD, typed code, CI gates, documentation).

Skills

Full-stack

Desktop apps

Hardware integration

AI/ML API integration

Cloud infrastructure

Software hygiene

Concurrency

AI-integrated systems

Operational design

Tools

TWAIN/ISIS/WIA drivers

Scanner SDKs

Cloud storage (S3) pipelines

LLM APIs / CV for OCR/ICR

Job description

• Solid full-stack experience
• Comfort building desktop applications
• Experience with hardware or device integration
• Experience integrating AI/ML APIs into production systems
• Comfort with cloud infrastructure
• Strong foundation in software hygiene
• Ability to reason about algorithmic complexity
• Understanding of concurrency
• Experience with AI-integrated systems engineering
• Ability to design for operational reality
• Build and maintain the Scanvas web platform — API routes, background job queues,
• database models, and the canvas-based template editor that assessment staff use to
• configure OMR zones.
• Build and maintain the ScanController desktop application — the interface between
• scan-room operators, the scanner hardware, and the cloud backend.
• Integrate hardware: scanner SDKs, driver interfaces (TWAIN/ISIS/WIA or vendor APIs),
• and scan-capture pipelines that validate quality and handle errors before upload.
• Integrate AI services: LLM APIs for OMR template generation, computer vision for zone
• detection, and document OCR/ICR for handwritten and typed responses on mix-form
• booklets.
• Design and optimise for throughput — job queues, concurrency limits, rate-limited
• external AI calls, and S3 storage pipelines that must sustain peak exam-season load.
• Collaborate with the Product Manager and operations team to turn real scan-room
• workflows into software that people trust under pressure.
• Maintain engineering rigour: TDD, typed code, clean API boundaries, meaningful CI
• gates, and documentation that the next engineer can actually use.
• What We're Looking For
• The fundamentals matter most. We are not prescriptive about your current stack. Engineers
• who understand why systems behave the way they do pick up new frameworks quickly.
• Engineers who only know their current framework struggle when the problem doesn't fit the
• tutorial.
• What the fundamentals look like in practice:
• You can design a system given a set of constraints and articulate the trade-offs you
• made. You don't need a framework to do this.
• You understand concurrency — threads, event loops, async/await — well enough to
• reason about race conditions and bottlenecks, not just write await and hope.