AI Cloud Engineer Intern Jobs Opening in SYplat at Avinashi Road, Coimbatore
AI Cloud Engineer Intern
Job Description
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 professional engineer within an Agile product team.
5. Engineering excellence & compliance
With guidance from the Senior Architect, you will be introduced to:
- Quality practices:
- Unit / integration / E2E testing
- Peer reviews
- Static checks, where applicable
- Maintaining traceable acceptance evidence
- Security & observability basics aligned to SYplat’s standards:
- Secrets management and least privilege
- Dependency hygiene
- Structured logs and metrics
- Basic resilience practices
- Process discipline:
- Following SYplat’s processes, procedures, guidelines, and methodology
- Supporting change/release checklists and documentation standards
Over time in the internship, you are expected to take increasing ownership of your deliverables, while still being mentored.
Technology focus during the internship
You would primarily work on:
- Microsoft Azure and its services
- Microsoft Entra family of products
- AI agents development
- End-to-end development of the SY platform:
- From user interface to persistent store
- Exposure to SAP products and other enterprise security products, wherever relevant
All of this is done with strong use of AI tools and services to accelerate learning and delivery.
What you bring (Intern profile)
- Learning agility (mandatory)
- Ability to quickly understand new concepts, tools, and platforms.
- Proactive asking of questions and willingness to experiment and improve.
- Problem-solving (mandatory)
- Structured thinking for ambiguous or partially defined problems.
- Evaluating alternatives, using simple prototypes and experiments appropriately.
- Out-of-the-box thinking (mandatory)
- Practical, creative ideas that can improve any part of the platform:
- Architecture
- Design
- Workflows
- Processes
- Not limited to just prompt writing.
- People & communication skills
- Clear written and verbal communication.
- Professional collaboration with team members.
- Concise demos and status updates.
- Programming fundamentals
- Comfort with at least one programming language (e.g., Python, JavaScript/TypeScript, Java, or similar).
- Basic understanding of data structures and algorithms is a plus.
- Cloud exposure (advantage)
- Any experience (projects, labs, courses) with major clouds.
- Microsoft Azure and Microsoft Entra are strong pluses.
- SQL knowledge (advantage)
- Ability to read and write basic SQL queries for validation, reporting, and troubleshooting.
- Credentials (advantage, not required)
- Participation in coding competitions, hackathons, student clubs, or technical events.
- Recognized IT certifications/courses (Full-Stack, Microsoft/Azure/Entra, SAP, GCP, AWS, etc.).
- Professionalism
- Commitment to SYplat’s processes, procedures, guidelines, and methodology.
- Reliability in meeting agreed timelines and communicating proactively.
Mentoring, stipend & future opportunities
- The Senior Architect will actively mentor and guide you throughout your internship.
- You will receive continuous feedback to help you grow into an industry-ready engineer.
- Stipend: SYplat offers a competitive stipend for interns, commensurate with performance and contributions.
- Future opportunity: Exceptional interns may be considered for a pre-placement offer (PPO) or a full-time role, subject to performance and business needs.
Hiring Process
- Step 1: Logical reasoning and aptitude preliminary assessment
- Step 2: In-person technical discussion at our Coimbatore Development Centre.
If you are an engineering student looking to learn real-world AI & cloud engineering and build production-grade systems under strong mentorship, this internship at SYplat Labs is for you.
More information about this AI Cloud Engineer Intern Job
Please go through the below FAQs to get all answers related to the given AI Cloud Engineer Intern job
- What are the job requirements to apply for this AI Cloud Engineer Intern job position?
- Ans: A candidate must have a minimum of 0 to 1 year experience as an AI Cloud Engineer Intern
- What is the qualification for this job?
- Ans: The candidate can be a Graduate from any of the following: BE/B.Tech
- What is the hiring Process of this job?
- Ans: The hiring process all depends on the company. Normally for an entry level, hiring the candidate has to go for Aptitude, GD (If they look for communication),Technical test and face to face interviews.
- This AI Cloud Engineer Intern is a work from home job?
- Ans: No ,its not a Work from Home Job.
- How many job vacancies are opening for the AI Cloud Engineer Intern position?
- Ans: There are immediate 1 job openings for AI Cloud Engineer Intern in our Organisation.