Sr. AI Automation Engineer

Equifax is seeking a creative, high-energy and driven AI Engineer with hands‑on development skills to work on a variety of meaningful projects. Our AI Engineer position will 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.

• Full‑Stack AI Integration:
  Develop and operate scalable AI applications from the backend logic, while focusing on security and operational excellence.
• Apply Agentic coding practices to develop new and AI augmented features for the application, including LLM‑based or AI assisted refactoring of the legacy code base.
• Innovation & Agile:
  Participate in technology roadmap discussions to turn business requirements into functional autonomous solutions.
• Implementation:
  Write, debug, and troubleshoot code in mainstream open‑source AI technologies and maintain the code base for a Data Analytics and validation platform.
• Work with cloud‑based technologies and solutions.
• Capture and refine requirements across multi‑disciplinary teams.
• Actively address issues; set priorities when appropriate.
• Perform system validation and ongoing support for the application.
• Diagnose and resolve performance issues.
• Document code/processes so that any other developer can dive in with minimal effort.
• Work across teams to integrate our systems with existing internal systems.
• 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.

• Bachelor's degree or equivalent experience.
• 5+ years experience working in Java and Python.
• Experience working with Agentic Frameworks (e.g., ADK, Lang Chain, Lang Graph).
• 5+ years experience of working with APIs. Experience building and consuming RESTful APIs.
• GenAI Fundamentals:
  Understanding of how LLMs work, including @context engineering.
• 5+ years with SQL and Postgre
  
  SQL.
• 5+ years experience with software build management tools like Maven or Gradle and backend technologies such as JAVA/J2EE, Spring Boot, and Microservices.
• 5+ years experience with software testing, performance, and quality engineering techniques and strategies.
• 3+ years experience with Cloud technology:
  Google Cloud Platform.
• Source code control management systems (e.g., Github, Copilot, Gemini CLI).

• AI Evaluation:
  Experience building automated test suites and AI assisted code refactoring.
• Systems Thinking:
  Understanding how non‑deterministic AI components fit into deterministic software systems.
• 1+ years of experience with Jenkins pipeline.
• 1+ years experience working with software design with C++ programming languages.
• Self‑starter that identifies/responds to priority shifts with minimal supervision.
• Cloud Certification—strongly preferred.