SAP Portal

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

As a Back Office Executive, your primary responsibility is to gather, analyze, and interpret data to provide actionable insights that support decision-making processes within the organization. You will work closely with various teams to understand their research needs, contribute to strategic planning, and help enhance overall business performance.

Qualifications

1. Bachelor's or Master's degree.
2. Strong knowledge of Microsoft Office tools i.e. Microsoft Excel and Microsoft Word.
3. Excellent communication skills, both written and verbal.
4. Good knowledge of Google Spreadsheets, shortcut keys, and formulas.
5. Ability to work collaboratively in a team environment.
6. Prompt in web search.

We strongly prefer local candidates for this position as it is based in Ujjain.

• Ability to design and develop database architectures
• Expert working knowledge and experience of DBMS
• Ability to write complex T-SQL queries
• Expert knowledge of Azure Data Factory (ADF)
• Ability to create and manage SSIS packages while managing a full ETL lifecycle
• Proficiency in data cleansing and reconciliation
• Ability to assist others in topics related to data management
• Ability to quickly investigate and troubleshoot any data/database issues
• Expert knowledge in MS SQL Database Server administration, performance tuning and maintenance experience.

• Ability to work with end-users and project teams to analyze, document and create workflow processes
• Knowledge of SSRS (SQL Server Reporting Services)
• Attention to detail, critical thinking and problem solving skills.
• Excellent verbal/written communication skills and be a good team player.
• Azure SQL knowledge (SQL-as-a-service)
• Understanding of Agile Methodology.
• Working knowledge of Git.

Could Have

• DevOps knowledge (Infrastructure-as-a-code)
• Powershell scripting language
• Monitoring tools like Nagios, Azure tools.

The job responsibilities include:

• Assist in establishing email marketing for our brand.
• Create automations and user journeys
• Manage day-to-day email production including campaign creation, QA and deployment.
• Assist in management of the growth and maintenance of the email database – including new sign-ups and opt-outs
• Help manage reporting on email metrics and produce insights to ensure our program continuously improves
• Manage email production with internal and external resources
• Participate in the production of all email initiatives from conception to deployment
• Assist in copywriting and editing of email content
• Perform daily engagement activities on social media channels
• Create a community of pet owners & enthusiasts across social media channels
• Responsible for organic growth of social media outreach
• Bring in fruitful PR collaboration & engagement ideas to build a recall value of the brand digitally

At Klozet, We are building a launchpad for fashion designers and a virtual cloud-based wardrobe for the consumers. To do that we are creating a simple and beautiful product experience.
We are looking for a mindful, empathetic, self-motivated member to join our team to help us move thinking forward. With a strong focus on growth and personal development, Klozet is the ideal place to take your career to the next level in a fast-paced environment built on mutual trust and respect.

What will you do?

As a core technical member of the team, you'll architect and build the mobile app from scratch. You'll be working closely with the core and technology team to lead engineering planning, and bring an innovative and delightful product to life. You'll sweat the details and make things shine. You'll grow our engineering team and build a high-performance engineering culture.

Who are you?

• You have 2+ years of experience in high scale products. Experience in e-commerce products will be a plus.
• You have experience in React native development and have built products in a start-up environment.
• You have a stronghold on programming, architecture, design pattern to lead long term scalable, stable and flexible tech.
• You are flexible, dedicated, team leader, curious and passionate about learning.

We'd particularly love it if:

• Firm grasp of the JavaScript language and its nuances, including ES6+ syntax
• You have experience with react native build tools.
• You are familiar with native iOS and android development.
• You have experience in RESTful APIs, automated testing suites like Jest & mocha.

Sounds like you? We'd love to hear from you.

This role is based out of Gurgaon.