AI Engineer – Machine Learning & Edge AI (Computer Vision)

Build secure, production-grade systems that power real-world banking environments

Join our engineering team to design and deliver scalable web, backend, and terminal systems - where reliability, security, and maintainability are non-negotiable.

About the Role

We develop systems that operate in regulated financial environments - across web platforms, backend services, and banking terminals such as ATMs and kiosks.

This is a mid-level engineering role for developers ready to move beyond feature implementation into deeper system ownership. You’ll collaborate closely with QA, AI/ML, infrastructure, and architecture leads to ensure long-term system integrity.

‍

What You’ll Work On

• Develop scalable backend services using C# and ASP.NET
• Build responsive web applications using modern front-end frameworks
• Design and optimize SQL Server databases using Entity Framework and LINQ
• Develop and integrate RESTful APIs
• Implement secure authentication and external system integrations
• Contribute to systems deployed across on-premise and AWS environments

Over time, you’ll grow from owning modules to owning features end-to-end - from requirement clarification to deployment readiness.

‍

Engineering Standards

We follow a structured Software Lifecycle Development (SLCD) framework with disciplined AI-assisted workflows.

AI supports efficiency - but architecture, trade-offs, and debugging remain engineer-owned. Every release meets defined architectural standards. You’ll build production banking systems where reliability and maintainability are non-negotiable.

‍

Who Thrives Here

Engineers who:

• Have built and deployed production web or backend systems
• Care about architecture, data integrity, and API design
• Debug methodically and reason about system boundaries
• Communicate clearly and collaborate across disciplines

Apply for this Job

If this role aligns with your experience and approach to engineering, we invite you to apply below. Be prepared to walk us through real work you’ve done. We value developers who take ownership, reason deeply, and build for production environments.