Senior AI Engineer

Accertify enables commerce by doing one thing extraordinarily well: pinpointing fraud. The company's Predictive Yes Platform helps businesses say yes to more - more good customers, more revenue, and more growth - without getting burned.

It's a precise, confident, data-backed yes, made possible by joining signals across the entire customer lifecycle through unmatched data volume, layered AI-powered models, and a consortium approach that protects clients from bad actors spotted anywhere in the network while unlocking business with good actors verified anywhere in the network.

With more than 10 billion transactions and over $1 trillion in commerce processed in 2025 alone, Accertify delivers the intelligence and precision that fraud and payments teams need to say yes confidently and enable growth. That's the More Yes difference.

We are seeking an experienced Senior AI Engineer to lead the design, development, and deployment of intelligent systems that drive business impact.

You will own end-to-end AI solutions, set technical direction, and mentor other engineers, working across machine learning, LLMs, retrieval systems, agentic workflows, and the data layers that feed them. This role requires deep technical expertise and a track record of shipping production AI systems at scale.

Essential Duties & Responsibilities: AI Architecture: Architect AI systems end-to-end. Set technical direction. Review and mentor on others’ designs. LLM Strategy: Define how we use LLMs, routing, agentic orchestration, prompt patterns, fine-tune vs. prompt trade-offs, model selection.

Production Ownership: Own deployment patterns across on-prem and cloud (Kubernetes, container infrastructure, secure integration). Drive operational excellence.

Data Architecture: Consult on the data layer, medallion design (bronze/silver/gold), RAG retrieval stores, schema evolution, drift detection, and query performance at scale. Evaluation Framework: Define how we measure AI quality, golden datasets, judge-bas