Online Marketer

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

• Java – Spring, Hibernate, Data Structures & Algorithms
  • Knowledge on a Database system.
  3+ years of experience in software development.

Preferably BE/B-Tech engineering degree, but not a must.
• 3 years’ experience developing server-side Java – Spring, Hibernate and REST
• Full-SDLC cycle, with large-scale live roll-out participation as a developer.
• Expert understanding of the object-oriented design and programming concepts
• Good understanding of relational and non-relational database/datastores/caches best practices and challenges
• Have a passion for quality and writing clean, solid, readable code that scales and performs well
• Proficient in Git and familiarity with continuous integration
• A team player who values collaboration, innovation, and inclusion
• Comfortable working in an Agile environment
• Strong verbal and written communication skills

1. Building up and leading the Testing Team to the success of project
2. Defining the scope of testing within the context of each release / delivery
3. Deploying and managing resources for testing
4. Applying the appropriate test measurements and metrics in the product and the Testing Team
5. Planning, deploying and managing the testing effort for any given engagement.

Responsibilities:

- Taking initiative in the Design and Development of Android applications.

- Ship reliable software practicing robust software design and in-depth code reviews.

- Design major software components, systems, and features and implement full-stack app foundation features and core app features.

- Take ownership, design, develop and deploy in a collaborative environment with other team members

- Knowledge of architect solutions using innovative technology ideas and industry-leading methodologies.

Requirements:

- Good hands-on experience in developing and deploying Android apps Android native/cross-platform.

- Comfortable with JAVA and Kotlin both.

- Experience implementing integrated solutions with APIs built using RESTful web services.

- Strong analytical and debugging skills.

- Good understanding of Data Structure and Algorithms.

- Adapt to a dynamic work environment. Stay updated with the latest in technology and always think customer first.

- Study and understand the product specifications thoroughly to design appropriate software solutions. Suggest improvements and optimize existing implementations.

- Ability to identify and deliver POCs and Demos in a record timeframe.

- Encourage and coordinate with the team around new technologies, processes, and approaches.

- Proficiency in various Design Principles and app development methodologies.

- Strong communication skills with a people-first approach without compromising on engineering tasks

Key Responsibilities

• There are two main responsibilities of the role:
  • to increase the overall top line by increasing the application rate(optimizing the funnel) 
  • ensuring more users are retained post the first consumption cycle. 
• Create and refine effective programs that leverage tenure and customer behaviour data, and include a mix of triggered and targeted campaigns.
• Identify key, measurable metrics for Customer lifecycle programs with a focus to test and scale rapidly.
• Create, implement and optimize daily/weekly/monthly campaigns and user journeys (retention and reactivation - both automated and not automated)
• Generate deep insights about customers that increase their retention, root-cause & predict churn and lead to inventing new ways to delight and retain customers. Will include conducting primary & secondary customer research through surveys and talking directly with customers. 
• Experiment across the whole retention & re-activation funnel constantly looking for maximum impact on DAU (daily active users)
• Brainstorm new ways of segmenting potential customers and means of communication, leading to quick-test pilots with clear measurable outcomes