We are the AI Engineering team at WEX. We enable our product development teams to move quickly and deploy ML and LLM functionality into their applications in a scalable manner. We are cloud-first and try to automate everything, including infrastructure, testing, and deployment. If you’re interested in ChatGPT, Large Language Models, MLOps, DevOps, and thirst for working with new tools and technologies, then this is the place to be!
How you’ll make an impact
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.
Are 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.
Experience you’ll bring
Solid experience of application development experience.
Good experienc 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.
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