AI Engineer

EquifaxMontreal, QC
Hybrid

About The Position

Equifax is seeking creative, high-energy and driven AI Engineers 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.

Requirements

  • Bachelor's degree or equivalent experience
  • 5+ years experience working in Java and Python
  • Experience working with Agentic Frameworks. (e.g., ADK, LangChain, LangGraph).
  • 5+ years experience of working with APIs.
  • Experience building and consuming RESTful APIs (assistants interacting with software).
  • GenAI Fundamentals: Understanding of how LLMs work, including Context Engineering.
  • 5+ years with SQL and postgreSQL
  • 5+ years experience with software build management tools like Maven or Gradle and backend technologies such as JAVA/J2EE, SpringBoot 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)

Nice To Haves

  • Experience building automated test suites and AI assisted code refactoring
  • 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

Responsibilities

  • 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.
  • Participate in technology roadmap discussions to turn business requirements into functional autonomous solutions.
  • 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; setting priorities when appropriate.
  • Perform system validation and ongoing support for application.
  • Diagnose and resolve performance issues.
  • Document code/processes so that any other developer is able to 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.

Benefits

  • nurturing our people for career advancement and their learning and development
  • supporting our next generation of leaders
  • maintaining an inclusive and diverse work environment
  • regularly engaging and recognizing our employees
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