Applied AI Engineer

Role Overview:

We are looking for a Senior Applied AI Engineer to set technical direction for our applied AI work while staying deeply hands-on. This role offers the opportunity to work in a fast-paced fintech environment, where you will own the path from research to production across multiple AI systems.

Must-Have Skills

• 6–8 years as an AI/ML Engineer, with sustained hands-on depth in computer vision or transformer-based models this is a building role, not an oversight one.
• Has taken multiple models from research to production and owned them post-launch through retraining, regressions, and incidents.
• Strong technical judgement on build vs. buy, fine-tune vs. prompt vs. classical ML able to defend the choice on cost, latency, and accuracy.
• Depth in either vision (classification, detection, segmentation, video, ViT/VLM) or language (LLM fine-tuning, embeddings, task adaptation), with the ability to design evaluation frameworks and data strategy around it.
• Proven ability to mentor engineers and turn ambiguous business problems into scoped, sequenced roadmaps.

Preferred / Future-Ready Skills

• Fintech AI depth KYC, fraud, risk, or document intelligence at scale.
• Experience scaling GPU training and inference infrastructure with cost control.
• Exposure to model governance and explainability in a regulated environment.