Full Stack & AI Engineer

Full Stack & AI Engineering

Experiential Learning Program | Unpaid Internship | Remote

About NXDIGITA AI Technologies

NXDIGITA AI Technologies is an AI-focused software development company building practical technology solutions for businesses, startups, and educational institutions.

Our experiential learning programs are designed to help aspiring software developers gain real-world project exposure rather than learning only through theory. Interns work alongside mentors and development teams, participate in live project workflows, and gain hands-on experience with modern software engineering and AI technologies.

Our approach is built around:

Learn → Build → Experience → Get Industry-Ready

The program also aligns with our Hire. Engage. Deploy. Approach, where we identify talent, engage them through practical projects and mentorship, and develop them toward deployment-ready industry skills.

Role: Full Stack & AI Engineering Intern

As a Full Stack & AI Engineering Intern , you will participate in an experiential learning environment where you will work on practical software development projects under the guidance of mentors and experienced developers.

This is an unpaid internship focused on experiential learning, practical exposure, mentoring, and skill development .

You will have opportunities to contribute to projects involving:

• Full-stack web application development
• AI-powered applications and automation
• Front-end and back-end development
• REST APIs and database integration
• AI/ML application integration
• Cloud-based application development
• Software testing and debugging
• Git and collaborative development workflows
• Real-world product development practices

Key Learning & Responsibilities

During the internship, interns may participate in:

• Designing and developing responsive web interfaces using HTML, CSS, JavaScript, React, or other modern frameworks .
• Developing and integrating backend services and REST APIs .
• Working with databases such as MySQL, PostgreSQL, MongoDB , or other project-specific technologies.
• Connecting front-end applications with backend APIs and databases.
• Supporting the development of AI-powered features and automation workflows .
• Exploring AI engineering concepts such as APIs, LLM integration, RAG, vector databases, prompt engineering, and AI automation, depending on project requirements.
• Using Git/GitHub for version control and collaborative development.
• Debugging applications and identifying software issues.
• Participating in code reviews and receiving feedback from mentors.
• Following coding standards, documentation practices, and basic secure-development principles.
• Working on assigned project modules, features, experiments, and technical challenges.
• Collaborating with mentors and other interns in a structured development environment.

Experiential Learning Model

This internship is designed around learning by building .

Instead of focusing only on classroom-style training, interns get an opportunity to:

Learn → Work on Tasks → Build Features → Get Mentored → Receive Feedback → Improve → Build Portfolio

Depending on the project, interns may work on development tasks that simulate or contribute to real-world software engineering workflows.

The objective is to help interns understand how software products are actually planned, developed, tested, documented, and maintained.

Who Can Apply?

This opportunity is suitable for:

• Computer Science students
• Information Technology students
• Engineering students
• Recent graduates
• Full-stack development learners
• Aspiring software developers
• Aspiring AI engineers
• Individuals transitioning into software development
• Candidates who have completed relevant programming or web-development courses

Candidates should have a willingness to learn and the ability to dedicate time consistently to project work.

Preferred SkillsFront-End

• HTML
• CSS
• JavaScript
• React or similar frameworks

Back-End

• Node.js / Python / Java or equivalent
• REST APIs
• Server-side development
• Database fundamentals

Database

• MySQL
• PostgreSQL
• MongoDB or equivalent

Development Tools

• Git
• GitHub
• VS Code
• API testing tools

AI Engineering – Advantage

Knowledge or interest in:

• Generative AI
• LLM APIs
• Prompt Engineering
• RAG
• Vector Databases
• AI Agents
• AI Automation
• Machine Learning fundamentals

is an advantage, but prior AI experience is not mandatory for all internship tracks .

What Interns Gain

Through the experiential learning program, interns can gain:

• Hands-on software development experience
• Exposure to real development workflows
• Practical Full Stack development skills
• Exposure to AI Engineering and automation
• Git/GitHub collaboration experience
• Mentorship from experienced developers
• Code review and technical feedback
• Experience working with APIs and databases
• Understanding of Agile/project-based development
• Practical project experience for their portfolio
• Experience working in a professional development environment

Where applicable, interns may also receive project completion documentation/certification based on their participation and successful completion of assigned requirements.

Internship Nature

Type: Experiential Learning Internship

Compensation: *Unpaid

Mode: Hybrid / Remote, depending on project requirements

Location: Chennai / Pan-India

Focus: Full Stack Development + AI Engineering

Learning Model: Project-Based Experiential Learning

Mentorship: Technical mentorship and project guidance

This is not a paid employment position . The primary objective is to provide interns with practical exposure, mentorship, project experience, and opportunities to develop industry-relevant technical skills.

Our Talent Philosophy

At NXDIGITA AI Technologies , we believe that talent should be evaluated not only by academic qualifications but also by the ability to learn, build, solve problems, collaborate, and deliver working solutions .

Our Hire. Engage. Deploy. approach focuses on:

HIRE

Identify motivated and promising technology talent.

ENGAGE

Provide practical projects, mentorship, challenges, and collaborative development experiences.

DEPLOY

Help capable individuals progress toward industry-ready software development and AI engineering opportunities based on their demonstrated skills and performance.

The internship is therefore designed as a practical talent-development and experiential learning pathway , rather than simply a certificate-oriented program.