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AI Intern at Alphadot Technologies · Indore · 0 - 0 years · ₹2000 - ₹5000 / mo · Profitable · Posted 2 Jul 2026

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AI Intern

Alphadot Technologies's profile picture
Posted by Alphadot Technologies
0 - 0 yrs
₹2000 - ₹5000 / mo
Indore
Skills
Large Language Models (LLM)
Retrieval Augmented Generation (RAG)
langchain
LangGraph

About the Internship

We are looking for a passionate and enthusiastic AI/LLM Development Intern to join our team. This internship offers hands-on experience in building AI-powered applications, chatbots, and intelligent automation solutions using modern Large Language Models (LLMs).


Key Responsibilities

  1. Assist in developing AI-powered applications using Large Language Models (LLMs).
  2. Build, test, and integrate AI chatbots and virtual assistants.
  3. Work on Retrieval-Augmented Generation (RAG) solutions using enterprise documents and knowledge bases.
  4. Develop and maintain APIs and backend services for AI applications.
  5. Support the integration of AI models with web and mobile applications.
  6. Collaborate with the development team to optimize AI workflows and improve application performance.
  7. Participate in testing, debugging, and deployment of AI-based solutions.
  8. Document technical processes, implementations, and project outcomes.


Eligibility Criteria

Only those candidates can apply who:

  • Are available for a full-time, in-office internship.
  • Are available for a duration of 3 months.
  • Have relevant skills and a strong interest in Artificial Intelligence and Machine Learning.

Required Skills

  • Basic programming knowledge in Python.
  • Familiarity with REST APIs and API integration.
  • Basic understanding of Machine Learning concepts.
  • Knowledge of SQL and database management.
  • Understanding of Git and version control systems.


Preferred Skills

  • Familiarity with LLMs such as GPT, Claude, Gemini, or open-source models.
  • Exposure to AI frameworks such as LangChain, LlamaIndex, or similar tools.
  • Basic knowledge of vector databases and embeddings.
  • Understanding of cloud platforms such as AWS, Azure, or Google Cloud.


What You Will Gain

  • Hands-on experience with cutting-edge AI technologies and LLMs.
  • Exposure to real-world AI application development.
  • Mentorship from experienced AI engineers.
  • Opportunity to work on production-grade AI solutions and enterprise use cases.
  • Certificate and Letter of Recommendation based on performance.


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About Alphadot Technologies

Founded :
2022
Type :
Services
Size :
20-100
Stage :
Profitable

About

Alphadot - Corporate Business React NextJs Template
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Posted by TheCodersHub Tech
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

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Key Responsibilities

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Required Skills

  • Basic knowledge of Python programming.
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What You Will Learn

✅ Artificial Intelligence Fundamentals

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✅ Data Preprocessing & Model Training

✅ Generative AI Concepts

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✅ AI Project Development

✅ Industry-Oriented Problem Solving

Benefits

✅ Internship Completion Certificate

✅ Letter of Recommendation (Performance-Based)

✅ Hands-on AI & ML Project Experience

✅ Professional Mentorship & Guidance

✅ Resume & LinkedIn Profile Enhancement

✅ Portfolio Development Support

✅ Exposure to Real-World AI Applications

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Bachelor’s degree in computer science, Data Science, Mathematics, Engineering, or a related field.

8+ years of experience in designing and implementing AI/ML solutions.

Demonstrated ability to integrate AI models into production software.

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Ability to work autonomously as well as in a collaborative team setup.


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Test Harness Automation for LLM Agents

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Proficiency in Python and libraries like Pandas, NumPy, Scikit-learn, etc. containerization (Docker), and API frameworks (Flask, Fast API).

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Javeriya Shaik
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About PGAGI:


We're at the forefront of creating advanced AI systems, from fully autonomous agents that provide intelligent customer interaction to data analysis tools that offer insightful business solutions. We are seeking enthusiastic interns who are passionate about AI and ready to tackle real-world problems using the latest technologies.



About the Role


We are at the forefront of building advanced AI systems — from fully autonomous agents that power intelligent customer interactions, to data analysis tools that deliver actionable business insights. This internship combines hands-on AI/ML engineering with robust backend development, giving you a complete picture of how production-grade AI systems are built, deployed, and scaled.



You will work across the full stack: designing and fine-tuning AI models on one end, and architecting the APIs, databases, and server-side infrastructure that bring those models to life on the other.



Key Responsibilities


AI / ML ENGINEERING

Design, experiment with, and fine-tune large language models (LLMs) and NLP pipelines for real-world use cases.

Develop and iterate on prompt engineering strategies to optimise model performance and output quality.

Integrate and deploy models using Hugging Face and OpenAI platforms; evaluate open-source alternatives.

Build deep learning workflows including training, evaluation, and continuous improvement loops.

Collaborate on data collection, preprocessing, and feature engineering for ML pipelines.



BACKEND ENGINEERING

Architect and develop scalable RESTful APIs and GraphQL endpoints using Node.js / FastAPI / Express.

Build and maintain full-stack features using Next.js (App Router), integrating server-side rendering, API routes, and React components.

Design and manage relational and NoSQL databases (PostgreSQL, MongoDB, or equivalent); write efficient queries and manage schema migrations.

Implement authentication, authorisation, and security best practices (JWT, OAuth 2.0, role-based access control).

Containerise services with Docker and contribute to CI/CD pipelines for reliable, automated deployments.

Integrate AI/ML model inference endpoints into backend services, handling async processing, queuing, and latency optimisation.

Write clean, well-tested, and well-documented backend code; participate actively in code reviews.



VERSION CONTROL & COLLABORATION

Use Git and GitHub for all version control workflows — branching strategies, pull requests, and code reviews.

Contribute to technical documentation, architecture decision records, and internal knowledge bases.



Duration & Compensation


Duration: 6 Months

Stipend: Base ₹8,000/month — up to ₹15,000/month based on performance

Post-Internship: Full-time opportunity as AI/ML Engineer (₹6–8 LPA) based on performance



Perks & Benefits


Hands-on experience shipping real AI products used by actual customers.

Mentorship from senior engineers and industry experts in AI/ML and backend development.

Exposure to the full development lifecycle — from model training to production deployment.

Collaborative, innovative, and flexible work environment.

Accelerated growth path with a clear route to a full-time engineering role.



How to Apply


Interested candidates are invited to submit their resume and complete the assignment using

the link : https://pgagi.in/jobs/28df1e98-f0c3-4d58-9509-d5b1a4ea9754

Shortlisted candidates will be contacted for an interview.



Selection Process


Initial Screening: We'll review your application for evidence of your skills, experience, and a strong foundation in AI.

Task Assignment: Candidates need to submit assignment which is already being attached in careers page , designed to assess your practical skills.

Performance Review: Our experts will evaluate your task submission, with excellence in this stage being crucial for further consideration.

Interview: Impressive task performers will be invited for an interview to discuss their potential contribution to our team.

Onboarding: Successful candidates will join our team, with exciting projects ahead



Requirements


MUST-HAVE SKILLS

Strong proficiency in Python for AI/ML development and scripting.

Solid understanding of JavaScript / TypeScript; experience with Node.js and Next.js (or a strong willingness to learn quickly).

Familiarity with REST API design principles and at least one backend framework (Express, FastAPI, Django, etc.).

Working knowledge of at least one database system (PostgreSQL, MySQL, MongoDB).

Experience with Git and GitHub version control workflows.

Exposure to AI/ML platforms such as Hugging Face and OpenAI.

Understanding of prompt engineering concepts and the model fine-tuning process.



GOOD TO HAVE

Hands-on experience with Next.js App Router, React Server Components, or similar modern full-stack frameworks.

Familiarity with Docker, basic DevOps concepts, or cloud platforms (AWS, GCP, or Azure).

Experience with message queues (Redis, RabbitMQ) or background task processing.

Knowledge of LLM orchestration tools such as LangChain or LlamaIndex.



SOFT SKILLS & MINDSET

Strong problem-solving instincts and a genuine curiosity about AI technology.

Ability to own tasks end-to-end and communicate progress clearly.

Comfortable working in a fast-moving environment where requirements evolve.

A growth mindset — eager to learn, receive feedback, and level up continuously.





TECH YOU'LL WORK WITH

Python

Next.js

Node.js

FastAPI

LLMs / NLP

PostgreSQL

React

Docker

HuggingFace

OpenAI API

GitHub

REST / GraphQL



Apply now to embark on a transformative career journey with PGAGI, where innovation and talent converge!



#artificialintelligence #Machinelearning #AI #AIML #LLM #FastAPI #NLP #openAI #AImodels #AIMLInternship #AIintern #Internship #aimlgraduate #Python

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Remote only
0 - 1 yrs
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Artificial Intelligence (AI)
skill iconMachine Learning (ML)

About the Internship

LetsIntern is looking for passionate and motivated candidates for the AI & Machine Learning Internship Program. This internship is designed for students, freshers, and aspiring AI professionals who want hands-on experience working on real-world AI and Machine Learning projects.

Interns will gain exposure to practical AI workflows, data-driven problem solving, and industry-standard development practices under expert mentorship.


Roles & Responsibilities

✔ Assist in developing AI & Machine Learning models

✔ Work on real-world datasets and predictive analytics tasks

✔ Perform data preprocessing, cleaning, and visualization

✔ Support AI-based application development and testing

✔ Research and implement Machine Learning algorithms

✔ Collaborate with mentors and project teams on live tasks

✔ Prepare reports, insights, and documentation for projects


Skills & Technologies

• Python Programming

• Machine Learning Fundamentals

• Data Analysis & Visualization

• NumPy, Pandas, Matplotlib

• Deep Learning Basics

• NLP & Computer Vision (Basics)

• Model Training & Evaluation


Eligibility Criteria

✔ Students pursuing any degree (CS/IT preferred)

✔ Freshers interested in AI & ML

✔ Candidates passionate about Artificial Intelligence & Data Science

✔ Basic programming knowledge is a plus

✔ Strong willingness to learn and work on projects


What You’ll Gain

✔ Hands-on experience with AI & ML projects

✔ Live training sessions & mentorship

✔ Exposure to industry tools and workflows

✔ Internship Certificate

✔ Letter of Recommendation based on performance

✔ Opportunity to build a strong AI project portfolio

✔ Flexible & remote working environment

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Remote only
0 - 1 yrs
₹15000 - ₹18000 / mo
Artificial Intelligence (AI)
skill iconMachine Learning (ML)

About Us

Corporate Web Solutions provides technology and digital transformation solutions with an emphasis on emerging technologies including artificial intelligence and machine learning.


Role Overview

As an AI & Machine Learning Intern, you'll gain practical experience working with datasets, machine learning models, AI concepts, and Python-based tools.


Key Responsibilities

  • Prepare and analyze datasets.
  • Assist in developing machine learning models.
  • Experiment with AI and ML algorithms.
  • Evaluate model performance.
  • Work with Python and relevant libraries.
  • Participate in practical AI/ML projects.


Requirements

  • Basic Python programming knowledge.
  • Understanding of machine learning fundamentals.
  • Basic knowledge of data handling.
  • Familiarity with NumPy and Pandas is a plus.
  • Eagerness to learn AI technologies.


Perks

  • Certificate of Internship
  • Flexible work hours
  • Mentorship and real project exposure
  • Potential for PPO
  • Letter of Recommendation
  • Performance-Based Stipend available up to ₹18,000/month


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Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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