AI Engineer - Intermediate

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.