Equifax

Overview

We are seeking a highly skilled Agentic AI Developer to be the core engineer constructing our next-generation AI workforce, translating complex automation blueprints into production-grade, stateful agentic workflows.

About Equifax

At Equifax, we believe knowledge drives progress. As a global data, analytics and technology company, we play an essential role in the global economy by helping employers, employees, financial institutions and government agencies make critical decisions with greater confidence.

Requirements & Eligibility

• 3+ years of professional experience building production-grade AI/ML applications
• Heavy emphasis on LLM orchestration and autonomous agent patterns over the last 1–2 years
• Strong proficiency in Python or TypeScript
• Proven, production-level experience building custom agentic runtime loops or utilizing graph-based orchestration frameworks like LangGraph or Google Agent Development Kits
• Practical experience working with Advanced RAG pipelines, semantic search, and vector databases
• Mastery of JSON schema design and structured decoding techniques for bulletproof LLM tool-calling

Key Responsibilities

• Develop, test, and deploy robust multi-agent architectures and stateful graph workflows using LangGraph, Google ADK frameworks
• Implement advanced short-term and long-term memory systems utilizing vector databases and custom checkpointing
• Optimize agentic loops for latency, context-window management, and token consumption
• Build clean, secure integrations allowing LLMs to interact with internal APIs, databases, modern microservices, and third-party SaaS platforms
• Partner with infrastructure, product, business and DevOps teams to containerize, deploy, and scale AI agents securely
• Design agent workflows that strictly adhere to enterprise security, compliance, and data governance standards