Senior AI Engineer

September 17

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WEX

WebsiteLinkedInAll Job Openings

Fleet payments • Heathcare payments • Travel payments • Virtual payments • Corporate payment solutions

5001 - 10000

💰 $310M Post-IPO Debt on 2020-06

Description

• A highly motivated engineer who loves working on small, highly performing teams. • Collaborative, a solid communicator, and work well with your team and stakeholders. • A professional who can advocate strongly for positions and still be 100% behind team decisions even if they don’t go your way. • Comfortable balancing the need to move fast with the realities of working in highly regulated spaces like payments and healthcare. • Design, implement, and maintain robust and scalable full-stack components that enhance the functionality of our products. • Work closely with machine learning engineers to integrate AI components and models into WEX systems. • Collaborate with the team to manage version control using GitHub and implement robust CI/CD pipelines for continuous integration and delivery. • Design and implement RESTful APIs to facilitate communication between various components and ensure smooth operation of our applications. • Collaborate effectively with cross-functional teams, participate in code reviews, and communicate solutions to both technical and non-technical stakeholders. • Build, maintain, and support the AI Platform components.

Requirements

• Solid experience of application development experience. • Good experience of AI/ML experience. • Bachelor's Degree in Computer Science, Engineering, or related field. • Proven experience as a Full Stack Software Engineer with a focus on building scalable solutions. • Familiarity with cloud technologies, such as AWS, Azure, or GCP and how to provision those services through IAC frameworks such as Terraform. • Experience applying DevOps principles to software development processes. • Proficiency in version control systems, particularly GitHub. • Strong knowledge of CI/CD pipelines for automated testing and deployment. • Experience running production AI/ML workloads at scale on tools like Sagemaker, Dataiku, DataRobot, etc. • Hands-on experience designing and implementing RESTful APIs. • Excellent problem-solving skills and a proactive approach to addressing challenges.