WEX

Simplifying the business of running a business.

Senior AI Engineer

AI EngineerMachine Learning EngineerFull TimeRemoteTeam 5,001-10,000Since 1983H1B SponsorCompany SiteLinkedIn

Location

California + 3 moreAll locations: California, Illinois, Maine, Washington

Posted

37 days ago

Salary

$121.5K - $145.5K / year

Bachelor Degree5 yrs expEnglishAWSCloudDistributed SystemsJavaKubernetesMicroservicesNo SQLPythonPy TorchScikit LearnSQLTensorflowTerraformGo

Job Description

• Partner with stakeholders to translate complex customer challenges into robust technical designs and AI strategies • Architect, build, and deploy high-performance AI/ML platforms and tools, ensuring scalability, reliability, and security • Lead the development, evaluation, fine-tuning, and monitoring of production-grade AI/ML models (including LLMs and RAG architectures) • Design and standardize CI/CD pipelines (GitHub Actions) and Infrastructure as Code (Terraform) to ensure reproducible and automated deployments • Proactively monitor system health, lead incident response for critical AI systems, and drive architectural refactoring to remove bottlenecks • Mentor L1/L2 engineers, conduct code reviews, and foster a culture of engineering excellence and best practices • Evaluate emerging AI technologies/vendors and prototype new approaches to keep the organization at the cutting edge of the industry.

Job Requirements

  • 5+ years of experience as an AI/ML Engineer, Data Scientist, or Software Engineer
  • Bachelor's degree in Computer Science, Software Engineering, or related field; a Master’s or PhD in AI/ML is preferred
  • Proven track record of taking AI solutions from concept to high-scale production using Java, C#, GoLang, or Python
  • Deep experience with Generative AI, including prompting strategies, RAG (Retrieval-Augmented Generation), fine-tuning, and agentic workflows
  • Strong ability to design distributed systems and microservices architectures for model serving
  • Demonstrated ability to lead technical discussions with non-technical stakeholders and drive consensus
  • Experience in the financial or fintech industry is a plus
  • Expert proficiency in Python (preferred) or other core languages (Java, Go, C#)
  • Deep knowledge of modern ML frameworks (PyTorch, TensorFlow, Scikit-learn) and LLM orchestration (LangChain, LlamaIndex, vLLM)
  • Advanced understanding of MLOps principles, feature stores, and model monitoring
  • Solid grasp of advanced probability, statistics, and linear algebra
  • Extensive hands-on experience with Kubernetes (deploying and managing clusters) and Cloud platforms (AWS preferred)
  • Strong command of CI/CD methodologies and Infrastructure as Code (Terraform)
  • Excellent data engineering skills (SQL, NoSQL, data lakes, and processing pipelines).

Benefits

  • health, dental and vision insurances
  • retirement savings plan
  • paid time off
  • health savings account
  • flexible spending accounts
  • life insurance
  • disability insurance
  • tuition reimbursement
  • comprehensive and market competitive benefits

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