AI Workflow 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're looking for a Workflow Engineer who turns AI capabilities into production-grade agent workflows that automate real business processes. You'll design and ship LLM-powered flows, from RAG pipelines and MCP tools to multi-step agentic automations, and integrate them safely with our apps, data, and APIs. You'll work closely with product, platform, and security to deliver fast, reliable, and cost-efficient AI outcomes.

Essential Duties & Responsibilities

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Build agentic systems

* Design and implement agent workflows using tools like LangGraph, CrewAI, n8n (or similar) * Create task decomposition, tool-use policies, guardrails, and evaluation loops Implement Retrieval-Augmented Generation (RAG)* Stand up vector search and retrieval pipelines; select embedding strategies * Optimize context packing, grounding quality, and hallucination mitigation Develop MCP tools & integrations* Build Model Context Protocol (MCP) servers and custom tools to safely connect to APIs, databases, and internal systems * Establish capabilities, permissions, and auditing for tool use **Ship p...