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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!

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• Bachelor's degree in Computer Science or a related field with 2-5 years hands-on experience with Java based open source tech stack
• Expertise in Core Java, Data Structures, J2EE with proven expertise in Spring MVC, Spring boot, Microservices architecture, Web Services (Rest) in distributed systems
• Practical experience with MySQL and /or NoSQL databases like Couchbase, DynamoDB, Cassandra
• Practical experience with Caching frameworks Memcached/Redis, Message Queues (JMS, RabbitMQ)
• Practical hands-on experience in JavaScript UI preferred
• Experience in building high performance, high availability REST APIs and REST clients
• Expertise with log file analysis using one or more of ELK, or Splunk
• Prior experience with CI/CD, Container architecture - Docker/Jenkins and build scripts Maven/Ant
• Prior experience in transformation to cloud platforms is preferred
• Experience with Kafka is a definite plus
• Experience with building analytics pipeline and analytics DB is a plus
• Strong practical experience in applying design patterns, multithreading concepts to solve complex problems, strong problem solving skills

Job Description / Roles & Responsibilities (in Detail)Job Description

Work with Architect to define Application, Integration and Security Design for various components involved.

Design, development and build of java solution components/modules and integrations

Hands on knowledge in technology areas like Core Java, Java 8, Web services (SOAP and REST), Spring boot, Spring Frameworks, Spring Data JPA, REST/SOAP services, Spring cloud, Spring MVC, JSON & XML based processing. Strong command on Java/J2EE & OOPs concepts and current industry trends. Working knowledge of Java 8, 11 new features.

Working knowledge of cloud based server less application development on any of cloud platforms like AWS/Azure/GCP. Candidate with experience in Cloud native application development experience will be preferred.

Working knowledge in any of the databases like Mongo DB/Oracle/MySQL/SQL Server.

Working knowledge in any of messaging platforms like Apache Kafka/Rabbit MQ/JMS/AWS SQS/Azure Event Hub/Service Bus.

Production implementation experience for large enterprise applications using Java/J2EE will be preferred.

Experience in implementing Web services Security using WS-Security, SAML, OAUTH2, Kerberos and integrating with Identity providers, LDAP and ADFS. Experience working with credential vaults will be add-on.

Strong knowledge on design and integration patterns especially in applications involving Portals/SSO, legacy applications, B2B Applications, external partners using enterprise service bus.

Well versed with ensuring coding standards, DevOps CICD implementations, version management, branching strategy, security principles.

Ensure code quality and standards are followed. Experience in test automation is plus.

Up-to-date technical knowledge by attending educational workshops, reviewing publications

Requirements:

• Solid experience in Java or Golang
• Good to have exposure to ML
• Should have experience in cloud computing
• Has an ability to quickly learn and contribute in multiple codebase
• Overcomes roadblocks and requires minimal oversight
• Takes initiatives to fix issues/tech debts before assigned to him/her
• Able to deep dive into codebase and advise QA of possible regression impact
• Communicates tech decisions through design docs and tech talks
• Has delivered projects with end-to-end accountability
• Keeps track of industry trends and introduces right tech/tools for a given job
• Excellent understanding of software engineering practices, Design Patterns, Data Structures, Algorithms
• 4+ years of experience in product driven organisation
• A Bachelors or Masters degree in engineering from a reputed institute (preferably IITs, NITs, or other top engineering institutes)