Junior AI Platform Engineer

Overview

Supports the development and operation of platforms used to deploy, integrate, scale, secure, and monitor AI and machine learning solutions, combining software engineering, backend development, cloud computing, containerization, DevOps, and AI platform fundamentals.

What you'll 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.
• 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.
• 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.
• Create and maintain Docker configurations.
• Support Kubernetes deployments, services, configuration, secrets, and scaling.
• Learn Azure compute, networking, storage, identity, monitoring, serverless, and AI services.
• Use Git and GitHub-based workflows.
• Support automated build, test, security-check, and deployment pipelines.
• Maintain deployment, environment, and operational documentation.
• 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.

What you'll 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.

Nice 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.

Details

• Location: Hyderabad, Telangana, India.
• Selected candidates must complete the assigned role-specific learning plan, hands-on exercises, knowledge checks, and readiness assessment before joining or deployment.