AI Engineer - Intermediate

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.

Equifax is seeking a visionary AI engineer to lead our technology transformation initiative. In this role, you will lead a talented team in architecting and deploying cutting-edge, cloud-native solutions for a large enterprise. You will be at the forefront of modern development, employing vibe coding concepts with AI-powered coding assistants like GitHub Copilot, Gemini, and accelerate innovation and build highly scalable, reliable, and performant APIs, microservices, and PaaS/SaaS platforms, including the ability to design, develop, and deploy AI agents in the google cloud platform. This role requires a deep understanding of both front-end and back-end technologies, combined with mastery of cloud infrastructure, containerization, microservices architecture and the agentic AI framework. You are ideal for this position if you are a forward-thinking, committed, and enthusiastic software engineer who is passionate about technology.
What you’ll do

• Apply the knowledge of data characteristics and data supply pattern, develop rules and tracking process to support data quality model. 

• Prepare data for analytical use by building data pipelines to gather data from multiple sources and systems.

• Integrate, consolidate, cleanse and structure data for use by our clients in our solutions.

• Perform design, creation, and interpretation of large and highly complex datasets.

• Stay up-to-date with the latest trends and advancements in GCP and related technologies, actively proposing and evaluating new solutions.

• Understand best practices for data management, maintenance, reporting and security and use that knowledge to implement improvements in our solutions.

• Implement security best practices in pipelines and infrastructure.
  Develop and implement data quality checks and troubleshoot data anomalies.

• Provide guidance and mentorship to junior data engineers.

• Review dataset implementations performed by junior data engineers.

What experience you need  

• Bachelor's degree or equivalent experience

• 3+ years in software engineering, with a strong track record of technical development and shipping complex, scalable systems.

• 1+ years in a dedicated AI/ML role, with hands-on experience in model integration, MLOps, and applying AI to solve business problems.

• 1+ years of direct experience architecting and building solutions with LangChain, LangGraph, or similar agentic AI frameworks.

• 2+ years of in-depth experience with Google Cloud Platform (GCP), specifically its AI/ML services (Vertex AI, etc.).

• 2+ years of proven experience leveraging Kubernetes workloads.

• Proficiency in Python, JavaScript/TypeScript and/or Java and working knowledge of a modern front-end framework (Angular, React, or Vue) to collaborate effectively with UI teams.

• Hands-on experience with LLM observability tools like Langfuse for monitoring and debugging agentic workflows

• Cloud-Native Proficiency:

  • Cloud Platforms: Extensive hands-on experience with at least one major cloud provider (AWS, Google Cloud, or Azure).

  • Containerization: Mastery of Docker for containerizing applications and Kubernetes for orchestration.

  • CI/CD Tools: Experience with CI/CD tools such as Github Actions, Argo CD, Jenkins

  • Database Knowledge: Strong experience with both SQL (e.g., Spanned DB, Alloy DB, PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, DynamoDB and Firestore) databases.

  • Cloud-Native Proficiency:

  • Cloud Platforms: Extensive hands-on experience with at least one major cloud provider (AWS, Google Cloud, or Azure).

  • Containerization: Mastery of Docker for containerizing applications and Kubernetes for orchestration..

  • CI/CD Tools: Experience with CI/CD tools such as Github Actions, Argo CD, Jenkins

  • Database Knowledge: Strong experience with both SQL (e.g., Spanned DB, Alloy DB, PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, DynamoDB and Firestore) databases.

What could set you apart

• Strong expertise in Generative AI (GenAI), including hands-on experience with models like Gemini, ChatGPT, Claude, or Llama.

• You are adept at leveraging modern development tools, including AI-powered code assistants (like GitHub Copilot), to accelerate the development lifecycle and rapidly ship high-quality features

• Experience creating and deploying AI agents to production environments.

• You have a history of tackling ambiguous, complex technical challenges and architecting elegant, effective solutions.

• You are passionate about the potential of AI, but you are grounded in the practical realities of building and shipping reliable, production-ready software.

• You thrive in a team-oriented environment, capable of mentoring other engineers and clearly communicating complex technical ideas to any audience.

• You are motivated by the opportunity to apply cutting-edge technology to solve meaningful, real-world problems at a massive scale.

We offer a hybrid work setting, comprehensive compensation and healthcare packages, attractive paid time off, and organizational growth potential through our online learning platform with guided career tracks.

Are you ready to power your possible?  Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!

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