Software Development & Testing - Internship

About the internship:Job Description: AI-Assisted Software Development & Testing Intern

Company: Nivoryx Systems Private Limited

Role: AI-Assisted Software Development & Testing Intern

Duration: 3-6 months

Job Type: Internship

Location: Delhi NCR / Hybrid / Remote (as applicable)

Stipend: As per skills and experience

About Nivoryx Systems

Nivoryx Systems is building intelligent connected products that combine IoT hardware, mobile applications, cloud technologies, AI, and automation to solve real-world problems.

Our products include smart water management solutions, motor and pump controllers, water-level monitoring systems, and automation solutions.

We follow an AI-first engineering approach, leveraging AI tools across software development, testing, debugging, code reviews, and documentation. We are looking for an enthusiastic intern who can use AI effectively to accelerate product development while ensuring the quality, reliability, and usability of our applications.

About the Role

As an AI-Assisted Software Development & Testing Intern, you will work with the engineering team to develop, test, debug, and improve mobile applications and their integration with backend services and IoT devices.

You will use AI coding assistants and other AI-powered tools to generate code, create test cases, identify defects, review implementations, and automate repetitive engineering tasks.

Selected intern's day-to-day responsibilities include:

A. AI-Assisted Development

1. Use AI coding assistants to develop and enhance mobile application features.

2. Generate code, understand existing implementations, and implement small enhancements with AI assistance.

3. Validate features such as registration, login, device onboarding, dashboards, notifications, and automation controls.

4. Explore test automation using AI-assisted scripting and suitable testing frameworks.

B. Mobile App & IoT Integration

1. Test communication between mobile applications, backend services, and connected IoT devices.

2. Validate water-level monitoring, motor control, scheduling, alerts, and device status updates.

3. Test application behaviour under poor network connectivity, offline conditions, device disconnections, and power interruptions.

4. Use AI to help diagnose API failures, data inconsistencies, and device communication issues.

5. Document real-world observations and collaborate with the team to resolve technical problems.

C. AI-Driven Engineering Productivity

1. Experiment with AI tools to reduce development and testing effort.

2. Create reusable prompts, workflows, scripts, and checklists for common engineering tasks.

3. Ensure that AI-generated code and test outputs are reviewed and validated before acceptance.Who can apply:Only those candidates can apply who:are available for full time (in-office) internshipcan start the internship between 12th Oct'26 and 16th Nov'26are available for duration of 6 monthsare from Delhi onlyhave relevant skills and interestsare Computer Science Engineering students* Freshers looking for jobs may also applyStipend:INR₹ 10,000 - 12,000 /monthDeadline:[hidden]:59:59Other perks:Certificate, Letter of recommendation, Flexible work hours, Informal dress code, 5 days a week, Free snacks & beverages, Job offerSkills required:Java, JavaScript, Python and REST APIOther Requirements:A. Required Skills and Qualifications1. Pursuing or recently completed B.Tech/B.E., BCA, MCA, or a related technical degree.2. Basic programming knowledge in JavaScript, TypeScript, Python, Java, Kotlin, or Dart.3. Familiarity with AI tools such as ChatGPT, Claude, GitHub Copilot, or Cursor.4. Basic understanding of APIs, HTTP/REST, JSON, and mobile apps.5. Ability to debug, investigate errors, and validate AI-generated code.B. Good-to-Have Skills1. Exposure to Flutter, React Native, or Android development.2. Familiarity with Postman, Git/GitHub, Firebase, or cloud applications.3. Knowledge of AI-assisted coding, automated testing, IoT, Wi-Fi, or BLE.4. Personal projects built using AI coding assistants.C. Ideal Candidate1. A proactive learner with logical thinking and attention to detail.2. Comfortable experimenting with AI while applying engineering judgment.3. Able to investigate problems, validate solutions, and deliver working, tested code.About Company:Nivoryx Systems Pvt. Ltd. designs and builds connected hardware and software for control, monitoring, and automation. Our flagship line, AquaSense, automates water tanks and motor pumps with accurate level sensing, safety protections (dry-run, overload, thermal), and reliable connectivity (BLE, Wi-Fi, Zigbee mesh, and more). Customers use our mobile app, website, and cloud platform to install devices, get alerts, and manage systems at home or across larger deployments. We develop the full stack in-house, PCBs and electronics, ESP32 firmware, apps, and AWS cloud with an emphasis on reliability and offline-capable operation.Additional information:Job offer: On successful conversion to a permanent employee, the candidate can expect a salary of ₹ 300000 to 500000/yearWhat We Offer:

1. Opportunity to work on real mobile applications and connected IoT products.

2. Practical experience with AI-assisted coding, debugging, testing, and code review.

3. Opportunity to build reusable AI-powered engineering workflows and automation.

4. Mentorship and the possibility of a full-time opportunity based on performance and business requirements.

How to Apply?

1. Share your resume and a brief description of a project you have built or tested using AI tools.

2. Include the tools used, your contribution, and how you validated the results.

Responsibilities

Job Description: AI-Assisted Software Development & Testing Intern

Company: Nivoryx Systems Private Limited

Role: AI-Assisted Software Development & Testing Intern

Duration: 3-6 months

Job Type: Internship

Location: Delhi NCR / Hybrid / Remote (as applicable)

Stipend: As per skills and experience

About Nivoryx Systems

Nivoryx Systems is building intelligent connected products that combine IoT hardware, mobile applications, cloud technologies, AI, and automation to solve real-world problems.

Our products include smart water management solutions, motor and pump controllers, water-level monitoring systems, and automation solutions.

We follow an AI-first engineering approach, leveraging AI tools across software development, testing, debugging, code reviews, and documentation. We are looking for an enthusiastic intern who can use AI effectively to accelerate product development while ensuring the quality, reliability, and usability of our applications.

About the Role

As an AI-Assisted Software Development & Testing Intern, you will work with the engineering team to develop, test, debug, and improve mobile applications and their integration with backend services and IoT devices.

You will use AI coding assistants and other AI-powered tools to generate code, create test cases, identify defects, review implementations, and automate repetitive engineering tasks.

Selected intern's day-to-day responsibilities include:

A. AI-Assisted Development

1. Use AI coding assistants to develop and enhance mobile application features.

2. Generate code, understand existing implementations, and implement small enhancements with AI assistance.

3. Validate features such as registration, login, device onboarding, dashboards, notifications, and automation controls.

4. Explore test automation using AI-assisted scripting and suitable testing frameworks.

B. Mobile App & IoT Integration

1. Test communication between mobile applications, backend services, and connected IoT devices.

2. Validate water-level monitoring, motor control, scheduling, alerts, and device status updates.

3. Test application behaviour under poor network connectivity, offline conditions, device disconnections, and power interruptions.

4. Use AI to help diagnose API failures, data inconsistencies, and device communication issues.

5. Document real-world observations and collaborate with the team to resolve technical problems.

C. AI-Driven Engineering Productivity

1. Experiment with AI tools to reduce development and testing effort.

2. Create reusable prompts, workflows, scripts, and checklists for common engineering tasks.

3. Ensure that AI-generated code and test outputs are reviewed and validated before acceptance.