[Hiring] Staff AI Engineer @WEXWEXUS

Role Description

We are a fast-growing AI Engineering team, driving WEX's strategic vision to integrate artificial intelligence into the core of our product and business. Our team thrives on collaboration, working directly with stakeholders and domain experts to develop innovative AI platforms and solutions that enhance decision-making and create groundbreaking products that benefit our customers and help them to effectively grow their business. We foster a culture of continuous learning and believe that the best work stems from a shared purpose and an enjoyable, engaging environment.

Responsibilities

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

Qualifications

• 8+ years of experience as an AI/ML Engineer, Data Scientist, or Software Engineer with a heavy focus on production ML systems.
• 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.

Technical Skills

• 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
• And more

Pay Range

$185,000.00 - $217,400.00