AI Cloud Engineer Intern

Role summary (Internship)
As an intern, you will help build the SYplat product by implementing and configuring functionalities and services, developing AI agents, and creating AI-assisted workflows that power our platform. You will work under continuous guidance and close supervision from the Senior Architect and will collaborate with the Product Manager/Owner. You will:

• Use AI tools to assist with design, coding, testing, and documentation.
• Work within Agile practices (sprints, stand-ups, reviews, retrospectives).
• Learn how to meet release, acceptance, product-standard, and basic security criteria appropriate for an internship role.

This is a& learning-focused, hands-on internship& with the potential for a& full-time role / pre-placement offer (PPO)& based on performance and business need.
Hiring focus Engineering students

• Who can apply:
• Students currently pursuing full-time& B.E./B.Tech& or& M.E/M.Tech& (CSE/IT/AI) in an& engineering college.
• Passionate, ambitious, and exemplary final year and pre-final year students& (including those looking for full-semester/project internships as per college requirements).
• Minimum expectations:
• Strong learning ability and problem-solving skills.
• Comfortable with programming basics in at least one language.
• Must be available to work at our Coimbatore Development Centre.
• Added advantages (not mandatory):
• Prior exposure to AI, cloud, or full-stack development through courses, hackathons, projects, or certifications.
• Completion of any IT courses/certifications (e.g., Full-Stack Development, Microsoft/Azure/Entra, SAP, GCP, AWS, etc.).

& Internship Period & Location & & & & & & 3-6 months, based on factors applicable to the right candidate. For exemplary& pre-final-year students, we are also open to shorter durations. & & & & & & At our Coimbatore Development Centre. & Key Internship Responsibilities 1. AI-assisted engineering & AI-agent development

• Use& AI tools, LLMs, and AI agents& to draft and refine:
• Code
• Configurations
• Tests
• Documentation
• Runbooks
  (All subject to review by the Senior Architect and acceptance by the Product Manager/Owner.)
• Build and evolve an& AI assets library:
• Reusable components, templates, configurations
• Orchestration patterns and governance guidelines
• Standardization across design, development, testing, deployment, and operations

You will learn how to use AI not just for prompts, but as a serious engineering accelerator. & & & & 2. Implementation, configuration & integration (end-to-end) Under the Senior Architect s direction, you will:

• Translate product requirements and scenarios into working prototypes and components using:
• Application code
• Cloud services and configurations
• Integrations across leading PaaS/IaaS and SaaS platforms (e.g., Microsoft Azure, Microsoft Entra, etc.).
• Contribute (as appropriate for an intern) across the full stack:
• UI
• APIs/services
• Data access and persistence/DB
• Telemetry/observability
• Assist in implementing secure integrations and data exchanges, with basic:
• Instrumentation for performance and reliability
• Supportability hooks (logs, metrics, simple dashboards, etc.)

& 3. Rapid prototyping & reliable delivery

• Start with prototypes to validate the approach and feasibility.
• With support from the Senior Architect, help take selected prototypes towards more production-ready forms with:
• Tests and input validation
• Logging/metrics
• Basic rollback paths
• Operational notes
• Contribute to clear READMEs and how-to guides, so others in the team can run, monitor, and support what you help build.

4. Agile delivery & collaboration

• Participate in Agile sprints:
• Stand-ups, reviews, retrospectives
• AI-assisted minutes and action items
• Work using the Definition of Ready/Done is suitable for internship-level tasks.
• Learn to:
• Estimate your tasks
• Demo work frequently
• Track tasks to closure
• Surface blockers early with possible mitigation options

You will be guided on how to behave as a...