AI Software Engineer

Overview

Equifax is seeking creative, high-energy and driven software engineers with hands-on development skills to work on a variety of meaningful projects. Our software engineering positions provide you the opportunity to join a team of talented engineers working with leading-edge technology. You are ideal for this position if you are a forward-thinking, committed, and enthusiastic software engineer who is passionate about technology.

• Equifax has a hybrid work schedule that allows for 2 days of remote work (Monday and Friday), with 3 days onsite (Tuesday, Wednesday, Thursday) every week.
• This role reports to our office in Alpharetta, Georgia OR midtown ATL (OAC).
• This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.
• This is a direct-hire role and is not open to C2C or vendors.

• Design, develop, and operate high scale AI applications across the full engineering stack.
• Design, develop, test, deploy, maintain, and improve software that has AI / LLM integrations in it.
• 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

• Bachelor s degree or equivalent experience
• 5+ years of software engineering experience
• 5+ years experience writing, debugging, and troubleshooting code in mainstream Java, Spring Boot, Type Script/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, Spring Boot, 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

• 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 Open Telemetry) and Agent Evaluations to perform analysis on agent failures.
• Agent Optimizations with respect to performance and Cost