Role Summary

Company: SuperKalam

Location: Remote (India) / Bengaluru (Preferred)

Duration: 4–6+ Months

Stipend: ₹25,000 – ₹40,000/month

Type: Full-Time Internship

About SuperKalam

SuperKalam is building an AI-powered mentor for students, helping learners achieve their goals through personalized guidance, adaptive learning, and cutting-edge AI systems.

At SuperKalam, we're reimagining education in an AI-first world and building products that combine advanced technology with deep educational insights.

About the Role

SuperKalam is looking for an AI/ML Research Intern who has hands-on experience building machine learning systems, LLM applications, or agentic workflows and wants to work in a fast-paced, high-ownership startup environment.

This is not a theory-focused role. You'll work on production-oriented AI systems, experiment with state-of-the-art models, build intelligent pipelines, and contribute directly to AI features used by students.

What You'll Work On

• Build and improve AI/ML pipelines and workflows
• Develop LLM-powered applications and agentic systems
• Create and optimize Retrieval-Augmented Generation (RAG) pipelines
• Prepare high-quality datasets in collaboration with content teams
• Research, evaluate, and implement techniques from papers, blogs, and open-source projects
• Run experiments, model evaluations, and fine-tuning workflows
• Explore new AI models, frameworks, and tooling
• Contribute to AI-driven personalization and learning experiences

Requirements

• Previous AI/ML internship experience or strong end-to-end AI projects
• Strong programming skills in Python and/or Node.js
• Experience building LLM applications and AI workflows
• Understanding of prompt engineering techniques
• Familiarity with GitHub and collaborative development workflows
• Comfortable working with Google Colab and AI development environments
• Strong problem-solving and research mindset

Preferred Qualifications

• Experience with:
• RAG pipelines
• Knowledge graphs
• Agentic workflows and AI agents
• LangChain, LangGraph, CrewAI, or similar frameworks
• Experience training or fine-tuning models for text, image, or voice applications
• Familiarity with Claude Code, Codex, or AI-assisted development tools
• Basic software engineering knowledge including:
• PostgreSQL
• API design
• Rate limiting
• Security fundamentals

What We're Looking For

• Builders who have shipped real AI projects
• Strong ownership and execution mindset
• Curiosity about emerging AI technologies
• Excellent communication and collaboration skills
• Ability to learn quickly and work independently

Why Join?

• Work on cutting-edge AI systems and educational products
• Build real-world LLM, RAG, and agent-based applications
• Collaborate with a highly ambitious and fast-moving team
• Gain ownership of meaningful AI initiatives from day one
• Opportunity for long-term growth and full-time opportunities based on performance

Selection Process

1. Resume & Project Review
2. Introductory Discussion
3. Assignment Round (Research & Solution Design)
4. Technical Interview (AI/ML & Software Engineering)
5. Final Discussion

Candidates are encouraged to share a walkthrough of their best AI projects to showcase the depth of their work and stand out during the application process.