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Staff AI Engineer (L4)

WEX

hybridleadpermanentbackendengineering-management Maine, United States Yesterday via LinkedIn

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Tags

PythonMLOpsLLMRAGKubernetesTerraformCI/CDDistributed SystemsPyTorchLangChain

About the role

Role Overview

Staff AI Engineer (L4) at WEX. You will be a technical leader and AI/ML subject matter expert, partnering with stakeholders and product leadership to turn business goals into scalable, production-grade AI solutions.

Responsibilities

  • Technical Strategy & Architecture: Translate complex customer challenges into technical designs and AI strategies.
  • End-to-End Ownership: Architect, build, and deploy high-performance AI/ML platforms and tools (scalability, reliability, security).
  • Advanced Model Development: Lead development, evaluation, fine-tuning, and monitoring of production AI/ML models, including LLMs and RAG.
  • Operational Excellence: Standardize CI/CD pipelines using GitHub Actions and use Infrastructure as Code with Terraform for automated, reproducible deployments.
  • Reliability & Scale: Monitor system health, lead incident response for critical AI systems, and refactor architectures to remove bottlenecks.
  • Mentorship: Mentor L1/L2 engineers, conduct code reviews, and promote engineering best practices.
  • Innovation: Evaluate emerging AI technologies/vendors and prototype new approaches.

Requirements

  • 8+ years experience as an AI/ML Engineer, Data Scientist, or Software Engineer with a focus on production ML systems.
  • Bachelor’s degree in CS/Software Engineering (Master’s or PhD in AI/ML preferred).
  • Proven ability to take AI solutions from concept to high-scale production using Java, C#, Go, or Python.
  • Strong Generative AI experience: prompting, RAG, fine-tuning, and agentic workflows.
  • Ability to design distributed systems and microservices for model serving.
  • Experience leading technical discussions with non-technical stakeholders.

Nice to Have

  • Experience in financial/fintech.

Technical Skills

  • Python (preferred); also Java, Go, C#.
  • ML frameworks: PyTorch, TensorFlow, Scikit-learn.
  • LLM orchestration: LangChain, LlamaIndex, vLLM.
  • MLOps: feature stores, model monitoring.
  • Probability/statistics and linear algebra.
  • Kubernetes cluster deployment/management.
  • Cloud platforms, AWS preferred.
  • CI/CD and Terraform.
  • Data engineering: SQL, NoSQL, data lakes, processing pipelines.

About WEX

WEX is a company in the financial services and payments domain, building products that support businesses’ growth. They have a fast-growing AI Engineering team focused on integrating AI into the core of their product and business to improve decision-making and customer outcomes.

Scraped 8/5/2026