Fractal Analytics

AI Product Engineering Intern

InternshipWork from HomeJabalpur, Madhya Pradesh4 months43K/mo1 openingImmediate / Rolling

About this internship

Start your career in AI product engineering with Fractal Analytics as a AI Product Engineering Intern in Jabalpur. You will sit with a working team, use the same tools and systems they do, and own a defined piece of work from day one. About the role As a AI Product Engineering Intern at Fractal…

Skills you'll use

PythonFastAPIREST APIsLLM IntegrationDockerGitCloud DeploymentTestingPrompt EngineeringSystem Design Basics

What you'll do

Work on wiring models into user-facing product features and APIs alongside the core team
Apply Python, FastAPI, REST APIs, LLM Integration to live, production-facing problems
Document your work clearly for reviewers and stakeholders
Participate in reviews and act on the feedback you receive
Collaborate across engineering, product, design or business as required
Follow the team's quality, testing and documentation standards

Who can apply

Pursuing or recently completed B.E./B.Tech/BCA/MCA — 2026 freshers & final-year students welcome
Working knowledge of Python, FastAPI, REST APIs (or a genuine willingness to learn them)
Strong fundamentals in your discipline and clear problem-solving ability
Care with detail and the discipline to document your work
Clear written and verbal communication in English
Based in or willing to work from Jabalpur, Madhya Pradesh

Perks & benefits

Pre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship CertificateLetter of Recommendation

Interview & selection process

3 rounds — typical selection flow for this role:

1Application screening & resume shortlisting by the talent team
2Practical assignment or case study with a short walkthrough
3HR discussion — stipend, start date, expectations and offer

About Fractal Analytics

Fractal Analytics operates in the artificial intelligence sector and has an active presence in Jabalpur. Interns here are put on real work from the start, because the team's view is that the fastest way to learn a craft is to practise it under people who already do it well — not to watch it from a…

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