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 ential

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 luation Framework:
Define how we measure AI quality, golden datasets, judge-based eval, production observability (Open Telemetry, Phoenix or similar), behavior testing.
Technical Leadership:
Mentor AI Engineers, lead code and design reviews, set engineering standards for the AI team, and drive cross-team initiatives with Data Science and Data Engineering teams.
Security & PII:
Set the bar for handling sensitive customer data, secure system design, authentication, PII safety, and compliance-aware patterns.

Collaboration:

Partner with product managers, data scientists, engineers, and stakeholders to align AI solutions with business needs.

Skills & Qualifications   Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field (or equivalent experience).
5+ years of production software experience.
Strong proficiency with AI/ML frameworks (OpenAI SDK, FastMCP, agentic orchestration frameworks).
Strong Python AND strong SQL; both are first-class requirements. Comfortable with query optimization, indexing strategy, and data modeling.
Demonstrated experience designing and operating medallion architectures (bronze/silver/gold) erience handling data at scale, partitioning, batch pipeline design, query performance, schema evolution.
Production LLM experience, prompt engineering, retrieval (RAG), agentic orchestration, fine-tuning trade-offs.

Experience with vector databases (pgvector, Pinecone, Weaviate, etc.) and production RAG patterns.

Experience with AI observability and evaluation frameworks, Open Telemetry, Phoenix or equivalent, golden-set eval, judge-based eval methodology.
Strong understanding of secure system design, authentication, API integrations, and handling PII-sensitive data.
Track record of mentoring engineers and shipping cross-team initiatives.
Strong problem-solving skills and ability to…