AI Engineer

Equifax•Montreal, QC

4d•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.