AI Engineer - Full Stack Content Systems - Intern

Nxtwave Disruptive Technologies; Hyderabad; On-site; INR 167,000 - 301,000; Full time

Job summary

NxtWave Disruptive Technologies in Hyderabad is seeking an AI Engineer - Full Stack Content Systems Intern to help design, build and quality-check agentic learning content pipelines.

You’ll work with Python and MERN stack, integrate LLMs, RAG, and content evaluation tools, gaining hands-on experience in GenAI while shaping EduTech products.

Qualifications

• 0–1 year building software or AI projects with an LLM-integrated app.
• Hands-on GenAI: prompt design, RAG, vector DBs, hosted LLM APIs.
• Proficient in Python and Full-Stack (MERN/Python) with strong CS fundamentals.
• Curious, analytical, able to articulate technical challenges clearly.
• Experience with AI tools (Claude, ChatGPT, Copilot) is a plus.

Responsibilities

• Build agentic systems on top of the content pipelines.
• Develop and maintain LangGraph, LLM APIs, and RAG workflows for learning content.
• Ensure quality checks, eval rubrics, and content standards.
• Keep content accurate and up-to-date with current tech.
• Contribute to curriculum R&D and tooling observability.

Skills

GenAI

Python

Fullstack

LLM APIs

Prompt design

Observability

Job description

AI Engineer - Full Stack Content Systems - Intern

About NxtWave

NxtWave is one of Indias fastest-growing Ed-Tech startups. NxtWave is revolutionizing the 21st-century job market by transforming youth into highly skilled tech professionals irrespective of their educational background with its CCBP 4.0 programs.

NxtWave is founded by Rahul Attuluri (Ex Amazon, IIIT Hyderabad), Sashank Reddy (IIT Bombay) and Anupam Pedarla (IIT Kharagpur). The startup is backed by Orios Ventures, Better Capital and marquee angels, including founders of some of Indias unicorns.

NxtWave is an official partner for NSDC, under the Ministry of Skill Development & Entrepreneurship, Govt. of India, and recognized by NASSCOM, Ministry of Commerce and Industry, Govt. of India, and Startup India. The startup has received accolades as The Greatest Brand in Education’ in a research-based listing by URS Media, a leading international media house.

By offering vernacular content and interactive learning, NxtWave is breaking the entry barrier for learning tech skills. Learning in their mother tongue helps learners achieve higher comprehension, deeper attention, longer retention, and greater outcomes.

NxtWave now has paid subscribers from 400+ districts across India. In less than a year, CCBP 4.0 learners have been hired by 1500+ companies including Amazon, Accenture, IBM, Bank of America, TCS, Deloitte and more.

Know more about NxtWave: https://www.ccbp.in/

Read more about us in the news - Economic Times | The Hindu | Yourstory | VCCircle

Role Overview

This role sits where GenAI engineering meets learning content. You'll help design, build, and debug the agentic systems that generate and quality-check what learners study, testing workflows end to end, tracing why an agent's output drifted, and tightening it until it holds. You'll work closely with the team as you grow into owning parts of the pipeline yourself. It suits someone early in their journey who's already as excited about shipping an agent as they are about judging whether the content it created is actually good, and who cares whether learners succeed, not just whether something shipped.

What You'll Do (and Grow Into)

You'll help build the AI systems that generate and quality-check our learning content (lesson scripts, coding exercises, graded projects, MCQs), and take on more ownership of that content as it reaches learners the more you show you can. The agents are how the work gets done; what we'll grow you toward is content that ships quickly, holds up under assessment, and stays current.

• Learn how our content is authored and reviewed, then build agentic systems on top of it.


• Build, ship and maintain parts of the agentic workflows (LangGraph, LLM APIs, RAG) that generate learning content related to Fullstack, and help hold them to our bar for instructional clarity and technical accuracy, contributing to a 4/5-or-better instructor rating.


• Build the quality layer: the eval sets, rubrics, and guardrails that decide what's good enough to ship, and author content yourself to keep sharpening your own judgment.


• Building Learner Agents that improves the students concept understanding and retention.


• Keep Fullstack content accurate and current: spot outdated concepts, deprecated libraries, wrong syntax, or broken code examples, and fix them promptly, with support on the trickier calls.


• Ensure all agent-generated and human-authored content meets the standards and guidelines.


• Get involved in curriculum R&D: try out new tools and frameworks as they land, and share what's worth adding or retiring.


• Learn the foundations that keep the pipeline running and improving: memory, knowledge bases, integrations, and observability, and help clear the issues that stall generation or loading.

What your work feeds into:

Content: velocity (more shipped per cycle), efficiency (lower cost and effort per unit), effectiveness (learners who complete it pass what they're assessed on), and relevancy (it stays current).

Business: skill-assessment success percentage, a minimal delta between content and assessment, and more learners landing in the ideal engagement bands.

Must-have

• 0–1 year of building software or AI projects — internships, personal, course, or hackathon work all count — with at least one LLM-integrated fullstack application or agent you can show us (GitHub or live demo, not a tutorial follow-along).


• Genuine hands-on familiarity with GenAI (prompt design, basic RAG, vector databases, calling hosted LLM APIs), and enough content sense to tell technically accurate material from sloppy.


• Comfortable in Python and Full-Stack (MERN/Python), with solid grounding in core CS concepts — object-oriented design, data structures and algorithms, problem-solving, and complexity analysis.


• Good analytical and comprehension skills, with the ability to clearly articulate technical challenges and solutions.


• An evaluation instinct in the making: you check your output against something before you trust it, rather than assuming it's right.


• Curiosity about where things break — wrong answers, hallucination, cost — and the willingness to dig in and figure out why.


• You already use AI tools (Claude, Cursor, ChatGPT, Copilot) as a normal part of how you build.


• A fast learner: you can pick up a new tool or concept from docs, AI, and a bit of guidance without needing step-by-step instruction.


• You write clearly: precise, structured, easy to follow.

Nice-to-have

• Any EdTech, tutoring, teaching, or content-creation experience, even informal.


• Exposure to observability or eval tooling (LangSmith, RAGAS, or similar), or to CI/CD.


• A public trail of how you learn: a thoughtful README, a walkthrough, a blog post, an open-source contribution, or a project demo.

Why This Role

AI Fullstack Content is being figured out as it's built, and this is a rare first or second role where you help shape how it's done rather than run someone else's playbook. You'll build real systems, see their impact on real learners, and grow fast, with room to experiment, ship, and improve. If you've built something you're proud of and you're hungry to build a lot more, we'd love to see it.

Location: Hyderabad (In-office)

Workweek: 5 days

Employment type: 6-month Internship (+ Full-time possibility)