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AI Platform Engineer
Crowe
$94,500 - $212,500
Sep 10, 2025
Lexington, KY, USA • Boston, MA, USA • Indianapolis, IN, USA • Houston, TX, USA • Louisville, KY, USA • Lombard, IL, USA • Knoxville, TN, USA • Nashville, TN, USA • Manchester, NH, USA • Newport Beach, CA, USA • Washington, DC, USA • San Francisco, CA, USA • Austin, TX, USA • Cleveland, OH, USA • Los Angeles, CA, USA • Tampa, FL, USA • San Jose, CA, USA • Livingston, NJ, USA • Elkhart, IN, USA • Grand Rapids, MI, USA • Miami, FL, USA • Los Angeles, CA, US • Dallas, TX, USA • The Woodlands, TX, USA • Plano, TX, USA • Chicago, IL, USA • Tallahassee, FL, USA • Fort Lauderdale, FL, USA • Burlington, VT, USA • Sacramento, CA, USA • Columbus, OH, USA • Hartford, CT, USA • Springfield, IL, USA • New York, NY, USA • Atlanta, GA, USA • Fort Wayne, IN, USA • South Bend, IN, USA • Sarasota, FL, USA
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.
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 APIs, 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 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
Act ethically and with integrity at all times
Unlimited PTO and flexible work-from-home policy
Career coaching and guidance
Opportunities for career growth and leadership
Equal employment opportunities and non-discrimination policies
