Junior AI Engineer

About the Role

We build the intelligence behind straight-through-processing (STP) in banking. Our models recognize, evaluate, and validate information in real time - running on edge systems that support critical financial workflows.

This role sits at the intersection of research and production. You’ll refine models, optimize performance, and deploy AI into live systems where precision and latency directly impact real transactions.

You won’t be working in isolation - you’ll collaborate closely with experienced engineers who value disciplined thinking, shared learning, and continuous improvement.

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What You’ll Work On

• Develop and fine-tune computer vision models for banking applications
• Translate deep learning research into production-ready solutions
• Prepare and curate high-quality datasets using a data-centric approach
• Evaluate performance using statistical metrics and iterate for measurable gains
• Optimize models for edge deployment (pruning, quantization, distillation)
• Build APIs and services that integrate AI into live systems

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What Sets This Apart

This is not a research-only role.

Your models will run in production - on constrained hardware, under real-world conditions, within regulated financial environments.

You’ll gain end-to-end exposure from data preparation to deployment, growing in independence and ownership as your capability matures.

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Who Thrives Here

Engineers who:

• Have built and applied computer vision models beyond experimentation
• Care about statistical rigor and measurable performance
• Understand the realities of deploying AI on edge systems
• Value clear communication and collaborative problem-solving

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