Crowe is looking to solve the problem of making the future of human work more purposeful by leveraging state-of-the-art machine learning, modern architectures, and industry experts to create AI-powered solutions that transform the way they do business.
Requirements
- 4-8 years’ experience maintaining production-grade APIs
- Software engineering experience in a production environment, with a strong background in system design and architecture
- Expertise in programming languages such as Python and JavaScript
- Solid understanding of scaling strategies and distributed computing principles
- Demonstrated interface savviness, including experience creating and interacting with RESTful HTTPS API's, websockets, and webhooks
- Experience with at least one Cloud Computing platform (experience with Microsoft Azure a plus)
- Experience with serverless functions, e.g., OpenFaaS
Responsibilities
- Developing and maintaining scalable APIs and Kubernetes environments that support the deployment and operation of machine learning models at Crowe
- Design and development of backend services supporting AI workloads, including REST/gRPC APIs, job orchestration, asynchronous task processing, data/model lifecycle management, and service-to-service communication
- Design, build, and maintain scalable and robust APIs that integrate with Crowe’s machine learning models
- Deploy and manage Kubernetes environments to ensure the reliable operation of our AI systems
- Collaborate with Machine Learning Engineers teams to take AI solutions from Proof of Concept to production readiness
- Implement system architectures that support scaling and distributed computing needs
- Ensure the stability and security of AI deployments through design and execution of rigorous testing and monitoring
Other
- Uphold Crowe’s values of Care, Trust, Courage, and Stewardship
- Verify identity and eligibility to work in the United States and complete the required employment eligibility verification form upon hire
- Bachelor's degree or higher (not explicitly mentioned but implied)
- Unlimited PTO and flexible work-from-home policy
- Travel requirements not mentioned
