Crowe
From Crowe's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
The role combines software engineering, backend development, cloud computing, containerization, DevOps, and AI platform fundamentals.
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 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.
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.
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.
Strong troubleshooting, analytical, communication, collaboration, and documentation 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 DevOps.
Exposure to Azure AI Foundry, Azure Machine Learning, Azure OpenAI, or Power Platform.
Basic understanding of queues, caching, serverless functions, asynchronous processing, OAuth, managed identities, role-based access control, and secrets management.
Mandatory Pre-Joining Technology Training
Selected candidates must complete the assigned role-specific learning plan, hands-on exercises, knowledge checks, and readiness assessment before joining or deployment.
Python, object-oriented programming, data structures, and algorithms
Linux, shell fundamentals, Git, and GitHub workflows
HTTP, HTTPS, JSON, REST APIs, webhooks, and WebSockets
FastAPI or an equivalent backend framework
SQL, relational databases, and basic NoSQL concepts
Docker and container fundamentals
Kubernetes architecture, deployments, services, configuration, security, and scaling
Azure fundamentals, App Service, Functions, Container Apps, and Azure Kubernetes Service
Azure AI Foundry, Azure Machine Learning, and Azure OpenAI integration
CI/CD with GitHub Actions or Azure DevOps
Logging, monitoring, alerts, telemetry, testing, identity, secrets, and application security
Pre-Joining Capstone
Develop an AI-enabled API, package it in Docker, apply automated tests, and deploy it through a basic CI/CD pipeline to an approved cloud or simulated environment.
We expect the candidate to uphold Crowe’s values of Care, Trust, Courage, and Stewardship. These values define who we are. We expect all of our people to act ethically and with integrity at all times.
At Crowe, we know that great people are what makes a great firm. We value our people and offer employees a comprehensive benefits package. Learn more about what working at Crowe can mean for you!
We will nurture your talent in an inclusive culture that values diversity. You will have the chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations. Learn more about where talent can prosper!
Crowe Capability Center – India, operating under the legal entity C3 India Delivery Centre LLP (formerly known as Crowe Horwath IT Services LLP) is a wholly owned subsidiary of Crowe LLP (U.S.A.), a public accounting, consulting and technology firm with offices around the world. Crowe LLP is an independent member firm of Crowe Global, one of the largest global accounting networks in the world. The network consists of more than 200 independent accounting and advisory firms in more than 130 countries around the world.
Crowe does not accept unsolicited candidates, referrals or resumes from any staffing agency, recruiting service, sourcing entity or any other third-party paid service at any time. Any referrals, resumes or candidates submitted to Crowe, or any employee or owner of Crowe without a pre-existing agreement signed by both parties covering the submission will be considered the property of Crowe, and free of charge.
We are committed to a merit-based hiring process, evaluating all candidates consistently using objective, job-related criteria such as relevant experience, demonstrated skills, measurable impact, and alignment with the role’s responsibilities, and making employment decisions in a fair and inclusive manner free from discrimination.
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