Junior AI Platform Engineer
Crowe Capabilities Center – India · Greater Hyderabad Area, India
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.
What you will do
- 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.
What you need
- 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.
Good to have
- 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.
Eligibility
- Bachelor’s degree in Computer Science, Information Technology, Software Engineering, Electronics, or a related field.
- 0 to 2 years of relevant experience.
- Selected candidates must complete the assigned role-specific learning plan, hands-on exercises, knowledge checks, and readiness assessment before joining or deployment, including a pre-joining capstone project.
How to apply
- Apply through the LinkedIn job posting by selecting the Apply option.