Agentic AI Engineer

Equifax • Alpharetta, GA

1d • Hybrid

About The Position

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. 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.

Requirements

• 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

Nice To Haves

• 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

Responsibilities

• 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

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level