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.

Work arrangement
Yes