GenAI engineer roadmap 2026 for Indian students

On the mic
On the mic

Originally published at https://pranjulrathour.scult.in/blog/genai-engineer-roadmap-2026-india. That copy is the canonical version and gets updates first.

Every roadmap for AI careers I see is a wall of forty technologies. Students screenshot it and freeze. The roadmap that got me from a BCA classroom in Kanpur to building production AI systems had five stages and one rule: at every stage, ship something you can show. Here is the twelve-month version I give students who ask.

Months 1–2: Python, APIs and one deployed app

Python well enough to read library code. HTTP, JSON and calling an LLM API. Then a small web app with FastAPI and a front end, deployed with a URL. Not an AI app yet — a working one. This is the floor everything else stands on.

At the VSICS podium, Kanpur
At the VSICS podium, Kanpur

Months 3–4: a RAG project with evaluation

Chunking, embeddings, hybrid retrieval, citations and a confidence threshold, over a corpus you care about — the college-documents project is ideal. Write a fifty-question evaluation set and publish the numbers. This single project answers most GenAI interview questions.

Months 5–6: a fine-tuning project

QLoRA on a small model on a free GPU, with a validated dataset and a base-versus-tuned comparison. Learn what changed and what did not. Now you can speak to both halves of the field with evidence.

Trophy and certificate of merit at Vividhotsava 2025
Trophy and certificate of merit at Vividhotsava 2025

Months 7–9: ship for a real user

Take one project to ten real users — a club, an NGO, a shop. Add logging, error handling, a fallback, a privacy note. Enter one hackathon with the same discipline. Real users are what separate a portfolio from a repository.

Months 10–12: make it visible and apply

  • READMEs that lead with the problem and the numbers.
  • Three LinkedIn posts about what you built and what broke; see building in public as a student.
  • A one-page resume with projects above education; see a resume for AI roles as a fresher.
  • Apply to roles that mention RAG, LLM apps or AI product engineering, including remote ones.

What to ignore

Certificates as a goal, courses without a project, and the urge to learn every framework before shipping one thing. The students who got roles were not the ones who knew the most tools; they were the ones who could show a system working and explain why it was built that way.

From my carousels
15 Free Tools, No Signup, Every Link
15 Free Tools, No Signup, Every Link, slide 115 Free Tools, No Signup, Every Link, slide 2
15 Free Tools, No Signup, Every Link, slide 315 Free Tools, No Signup, Every Link, slide 4
Pranjul Rathour
Pranjul Rathour
GenAI engineer, Kanpur · 3x first-prize hackathon winner · campus mentor
I ship production RAG pipelines, fine-tune LLMs and build agentic AI products end to end. I lead engineering at SCULT INDIA for a 14-member team and have mentored 200+ students through TechVerse Enclave.
Open to: GenAI roles, hackathon judging, mentorship sessions and guest talks at colleges.
On stage, at hackathons and on campus
Walking a room through evaluation criteria
Walking a room through evaluation criteria
A career session for students
A career session for students
Requirements gathering and user flows, on stage
Requirements gathering and user flows, on stage

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