Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds,  and make a meaningful impact, we want to hear from you.

We are looking for a driven AI Engineer to join our engineering team. In this role, you will focus on building, testing, and deploying autonomous AI agents and multi-agent systems. You will bridge the gap between traditional software engineering and modern Generative AI, working to enable LLMs (Large Language Models) to interact with external tools, APIs, and data sources.

To adhere to our corporate location policies, this resource will be required to be local to the surrounding Atlanta, GA . You are required to adhere to our Return To Office (RTO) / weekly onsite requirements (Tuesday, Wednesday, and Thursday).

This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.

What you’ll do

• Design, develop, and operate high scale applications across the full engineering stack.

• Design, develop, test, deploy, maintain, and improve software.

• Apply modern software development practices (serverless computing, microservices architecture, CI/CD, infrastructure-as-code, etc.)

• Work across teams to integrate our systems with existing internal systems, Data Fabric, CSA Toolset.

• Participate in technology roadmap and architecture discussions to turn business requirements and vision into reality. Participate in a tight-knit, globally distributed engineering team.

• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on network, or service operations and quality.

• Research, create, and develop software applications to extend and improve on Equifax Solutions. Manage sole project priorities, deadlines, and deliverables.

• Collaborate on scalability issues involving access to data and information. Actively participate in Sprint planning, Sprint Retrospectives, and other team activity

What experience you need  

• Bachelor's degree or equivalent experience

• 5+ years of software engineering experience

• 5+ years experience writing, debugging, and troubleshooting code in mainstream Java, SpringBoot, TypeScript/JavaScript, HTML, CSS

• 5+ years experience with Cloud technology: GCP, AWS, or Azure

• 5+ years experience designing and developing cloud-native solutions

• 5+ years experience designing and developing microservices using Java, SpringBoot, GCP SDKs, GKE/Kubernetes

• 5+ years experience deploying and releasing software using Jenkins CI/CD pipelines, understand infrastructure-as-code concepts, Helm Charts, and Terraform constructs

What could set you apart

• Prompt Engineering & Optimization: Advanced techniques (Chain-of-Thought, ReAct, Tree of Thoughts).

• Cognitive Architectures: Designing memory systems (short-term vs. long-term) for agents.

• AI Evaluation: Building automated test suites to grade agent performance.

• Systems Thinking: Understanding how non-deterministic AI components fit into deterministic software systems.

• Agent Trace-Based Debugging & Observability: Leverage observability tools (like OpenTelemetry) and Agent Evaluations  to perform analysis on agent failures. 

• Agent Optimizations with respect to performance and Cost 

#LI-Hybrid

#LI-KC1

We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.

Are you ready to power your possible?  Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!

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