GenAI Intern

A little bit about us
Coding Ninjas is one of the largest online coding EdTech companies in India, founded in 2016.
Founded by Ankush Singla, Kannu Mittal, and Dhawal Parate, with IIT and Stanford backgrounds
and experience working at Amazon, Facebook, Cars24, and other top startups in India. As
pioneers in EdTech, Coding Ninjas is on its path to becoming the de facto coding education
company in India for college students. With a focus on teaching programming courses to
college students.
With our exhaustive learning programs, 1:1 mentor support for effective doubt resolution and
over 400+ doubts being resolved per hour, our focus lies on crafting learning experiences that
equip candidates with learning, application, and demonstration of capabilities in the software
development domain.
At Coding Ninjas, our focus is on creating industry-relevant programs and crafting learning
experiences that help candidates learn, apply, and demonstrate capabilities in the software
development areas.
About the Role
We’re looking for an AI / GenAI who is genuinely curious about how modern AI systems work and enjoys experimenting with LLMs, AI tools, agents, and automation workflows.
You’ll work closely with the GenAI course and content team, helping turn AI concepts and industry practices into practical, learner-friendly content and experiences.
This is a hands-on role for someone who likes building, experimenting, researching, and figuring things out, rather than someone who only knows AI concepts theoretically.
Key Responsibilities
Explore and work with LLMs, AI models, AI tools, and emerging GenAI technologies
Experiment with AI agents, tool calling, workflows, orchestration, and multi-agent systems
Research and understand emerging GenAI tools, frameworks, platforms, and industry use cases
Build and experiment with AI-powered workflows, prototypes, and automations
Explore concepts such as RAG, APIs, function/tool calling, agents, memory, evaluation, and LLM application development
Use AI tools to research, create, review, and improve technical learning content
Assist in creating session documents, assignments, coding exercises, quizzes, assessments, and learner resources
Review AI/technical content for accuracy, clarity, practical relevance, and consistency
Convert technical concepts and experiments into simple, structured explanations and learning material
AI / Technical Exposure
You should be comfortable with or actively exploring areas such as:
Generative AI: LLMs, prompting, context windows, embeddings, RAG, multimodal AI
AI Agents: Agents, tool/function calling, agent workflows, memory, planning, multi-agent systems
AI Development: Python, APIs, SDKs, LLM application development, basic backend concepts
AI Tools & Platforms: ChatGPT, Claude, Gemini, Claude Code, Cursor, Codex, or similar AI development tools
Knowledge of frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or similar technologies is a plus.
Who Should Apply?
We’re looking for someone who:
Has a strong interest in Generative AI and emerging AI technologies
Has a foundational understanding of LLMs, AI agents, tools, and orchestration
Has experimented with AI tools, APIs, agents, or AI-powered applications
Is comfortable learning new AI tools and technologies quickly
Has good Python programming skills
Understands how to work with APIs and is interested in building AI-powered applications
Enjoys hands-on experimentation and prototyping
Can research unfamiliar AI concepts and understand how they work
Has strong analytical and problem-solving skills
Is comfortable working in an environment where tools, technologies, and requirements evolve rapidly
Good to Have
Personal AI/GenAI projects or prototypes
GitHub projects involving LLMs, agents, RAG, APIs, or AI automation
Experience with agentic frameworks or orchestration tools
Experience building AI-powered applications
Understanding of LLM evaluation, observability, or production AI workflows
Why Join Us?
Work hands-on with modern GenAI technologies and AI development workflows
Get exposure to LLMs, agents, orchestration, RAG, APIs, and AI tools
Work on real-world AI curriculum, projects, experiments, and learning experiences
Experiment with emerging AI tools and frameworks
Learn how AI concepts are translated into practical, industry-relevant learning experiences
Work closely with AI instructors, SMEs, and content developers
Opportunity to contribute to broader AI, technical content, and product initiatives
Opportunity for extension based on performance and business requirements

Work arrangement
No