Applied AI Full-Stack Engineer Intern

Applied AI Full-Stack Engineer Intern
Company: Marxen
Role: Applied AI Full-Stack Engineer Intern
Experience: Fresher / 0–1 year
Stipend: ₹10,000/month
Opportunity: PPO based on performance
About the Role
We’re looking for an Applied AI Full-Stack Engineer Intern who wants to build real-world AI products — not just notebooks, demos, or college projects.
At Marxen, you’ll work at the intersection of Applied AI, backend engineering, frontend development, APIs, databases, and deployment, building applications where AI is deeply integrated into products and workflows.
This role is ideal for fresh graduates and final-year students who are strong builders, learn fast, and enjoy figuring things out independently.
You do not need years of experience.
You do need to be able to build.
What You’ll Work On
You may work on:
Building AI-powered web applications end-to-end
Integrating LLMs and AI models into production applications
Building APIs and backend services using Python / FastAPI / similar frameworks
Developing modern frontend interfaces using React / Next.js
Building RAG pipelines and retrieval systems
Working with embeddings, vector databases, structured and unstructured data
Integrating APIs from different AI and model providers
Designing databases and application logic
Creating internal AI tools, agents, workflows, and automation systems
Deploying and testing applications in real environments
Improving latency, reliability, and overall product experience
Rapidly prototyping new Applied AI product ideas
You’ll get exposure to the complete journey from:
Idea → Prototype → Product → Deployment
What We’re Looking For
You should have a good understanding of programming fundamentals and ideally be comfortable with some of the following:
Backend
Python
FastAPI / Flask / Django
REST APIs
SQL / PostgreSQL
Basic database design
Frontend
JavaScript / TypeScript
React
Next.js
HTML / CSS
Applied AI
LLM APIs
Prompt engineering
RAG
Embeddings
Vector databases
AI agents / tool calling
Working with open-source or hosted AI models
Engineering
Git / GitHub
Debugging
API integrations
Basic Linux / terminal usage
Deployment fundamentals
You don't need to know every technology listed above.
What matters more is whether you can learn quickly, understand systems, debug problems, and ship working software.
Who Should Apply
This role is a strong fit if you:
Are a fresher or recent graduate
Have built projects outside your college coursework
Experiment regularly with AI tools, APIs, and new technologies
Can take an idea and turn it into a working prototype
Are comfortable learning technologies you haven't used before
Enjoy solving ambiguous engineering problems
Care about building usable products, not just writing code
Use AI-assisted development tools intelligently to move faster
Students graduating soon may also apply if they can commit seriously to the internship.
What Will Make You Stand Out
We care much more about proof of work than certificates.
Show us:
GitHub projects
AI applications you have built
Hackathon projects
Products you have deployed
Open-source contributions
Personal experiments
Interesting automation or agent projects
A small project that actually works is more valuable to us than a long list of certifications.
Internship & PPO
Stipend: ₹10,000 per month
This internship comes with an opportunity for PPO conversion based on performance.
PPO evaluation will primarily consider:
Engineering ability
Speed of learning
Ownership
Quality of execution
Problem-solving ability
Ability to ship independently
Performance during the internship
What You’ll Get
This will be a highly hands-on engineering role.
You’ll get the opportunity to work on real Applied AI systems and understand how modern AI applications are designed, built, deployed, and operated.
You’ll work closely with the team, take ownership of actual product components, and get significantly more responsibility than a typical internship.
How to Apply
Apply through LinkedIn and make sure your profile includes links to your GitHub, portfolio, or projects.
When applying, tell us about one project you built that you’re genuinely proud of and what exactly you built yourself.
We’re looking for builders.
If that's you, we'd love to hear from you.

Work arrangement
Yes