Your Journey at Crowe Starts Here:
At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you’re trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That’s why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry.
Job Description:
Job Overview
The Junior AI Platform Engineer supports the development and operation of platforms used to deploy, integrate, scale, secure, and monitor AI and machine learning solutions. The role combines software engineering, backend development, cloud computing, containerization, DevOps, and AI platform fundamentals.
Key Responsibilities
Assist in developing backend services supporting AI and machine learning workloads.
Develop and test REST APIs using Python or another approved programming language.
Integrate machine learning models and Generative AI services with enterprise applications.
Package applications and services using Docker and support deployment to Kubernetes environments.
Assist with asynchronous jobs, background processing, scheduled workloads, and service-to-service communication.
Support cloud configuration, infrastructure automation, release pipelines, and environment management.
Implement input validation, error handling, logging, telemetry, and API documentation.
Support identity, access control, secret management, network security, and responsible data handling.
Write unit, integration, API, and basic load tests.
Investigate defects and production issues, escalating complex problems with evidence and impact details.
Participate in code reviews, sprint planning, backlog refinement, demonstrations, and technical documentation.
Collaborate with Machine Learning, Product Engineering, Product Support, and business teams.
Essential Job Functions
API and Backend Development
Build basic REST APIs and backend components.
Integrate applications with databases, model endpoints, and external services.
Apply validation, error handling, logging, and API documentation standards.
Cloud and Container Platforms
Create and maintain Docker configurations.
Support Kubernetes deployments, services, configuration, secrets, and scaling.
Learn Azure compute, networking, storage, identity, monitoring, serverless, and AI services.
DevOps and Automation
Use Git and GitHub-based workflows.
Support automated build, test, security-check, and deployment pipelines.
Maintain deployment, environment, and operational documentation.
Reliability and Security
Monitor service health and investigate failures or performance bottlenecks.
Follow platform security, access control, vulnerability management, and data-handling standards.
Support reliability, scalability, availability, and disaster-recovery practices.
Required Qualifications and Skills
Bachelor’s degree in Computer Science, Information Technology, Software Engineering, Electronics, or a related field.
0 to 2 years of relevant experience, including internships, academic projects, or personal projects.
Programming knowledge in Python, C#, Java, JavaScript, or a similar language.
Understanding of object-oriented programming, data structures, algorithms, HTTP, REST APIs, JSON, databases, and SQL.
Basic familiarity with Linux command-line operations.
Strong troubleshooting, analytical, communication, collaboration, and documentation skills.
Preferred Skills
Exposure to Microsoft Azure.
Familiarity with FastAPI, Flask, ASP.NET Core, Node.js, or a similar backend framework.
Exposure to Docker, Kubernetes, GitHub Actions, or Azure…