AI Engineer - St Louis MO

AI Engineer – St. Louis, MO (Equifax)

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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 advanced coding concepts with AI‑powered assistants like Git Hub Copilot and Gemini, accelerating innovation and building highly scalable, reliable, and performant APIs, microservices, and PaaS/SaaS platforms.

This role requires deep expertise across front‑end and back‑end technologies, cloud infrastructure, containerization, microservices architecture, and the agentic AI framework.

• Design, build, and deploy complex AI agents using Lang Chain and Lang Graph to automate decision‑making within the claims lifecycle.
• Design, test, and refine complex prompts and contextual data frameworks to maximize AI agent accuracy, efficiency, and reliability.
• Identify, prototype, and integrate foundational models, RAG techniques, and agentic frameworks to solve unique business challenges.
• Engineer and operate AI systems in a scalable, reliable production environment on Google Cloud Platform.
• Establish and lead best practices for MLOps, versioning, monitoring, and observability of AI agents using tools like Langfuse.
• Partner with product leaders, data scientists, and other engineers to translate business needs into technical solutions.
• Champion modern software development practices by using AI code‑assist tools (e.g., Gemini, Git Hub Copilot, Claude) to accelerate development cycles and improve code quality.
• Build, manage, and mentor a cross‑functional team of software, quality, and reliability engineers.
• Define and report on key engineering metrics (SLA, SLO, SLI) and ensure compliance with security, quality, and financial operations best practices.
• Collaborate with product managers, architects, SREs, and business partners to define technical strategy, create software roadmaps, and make architectural decisions.
• Lead troubleshooting efforts to resolve production and customer issues.
• Participate and lead agile team activities, including sprint planning and retrospectives.
• Drive up‑to‑date technical documentation, including support and run‑book content.
• Create and deliver technical presentations to internal and external stakeholders.

• Bachelor’s degree or equivalent experience.
• 7+ years in software engineering with a strong track record of technical leadership and shipping complex, scalable systems.
• Experience in a dedicated AI/ML role, with hands‑on experience in model integration, MLOps, and applying AI to solve business problems.
• Direct experience architecting and building solutions with Lang Chain, Lang Graph, or similar agentic AI frameworks.
• In‑depth experience with Google Cloud Platform (GCP), specifically its AI/ML services (Vertex AI, etc.).
• 3+ years of proven experience leveraging Kubernetes workloads.
• Proficiency in Python, JavaScript/Type Script, and/or Java; knowledge of a modern front‑end framework (Angular, React, or Vue).
• Hands‑on experience with LLM observability tools like Langfuse for monitoring and debugging agentic workflows.
• Cloud‑native proficiency: extensive experience with at least one major cloud provider (AWS, GCP, Azure); mastery of Docker and Kubernetes; proficiency with Terraform or Cloud Formation; experience with CI/CD tools (Git Hub Actions, Argo CD, Jenkins).
• Strong experience with both SQL (Spanner, Aurora, Postgre
  
  SQL, MySQL) and No
  
  SQL (Mongo
  
  DB, Dynamo
  
  DB, Firestore) databases.

• Strong expertise in Generative AI, including hands‑on experience with models like Gemini, ChatGPT, Claude, or Llama.
• Proficiency in…