Backend Engineer

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

• Expertise with NodeJS (extensively using ExpressJS) and databases like MongoDB or MySQL
• Comfortable with developing MVC architecture-based code
• Skilled in implementing security features across the applications and components
• Skilled with code optimization techniques
• Strong troubleshooting techniques
• Strong defect resolution process for minimized latency
• Familiarity with confluence management like JIRA/Trello/Youtrack

• Networking fundamentals, prior working experience in network technologies and protocols
• Tools usage - Code quality, Memory/CPU profiling tools
• Ability to build supportability features to reduce the defects in software components
• Knowledge of GNU tools, revision control software (SVN, Git, etc.) and development lifecycle, docker container usage and LDAP is a plus

Role Responsibilities:

• Development and Maintenance of REST APIs: Lead the creation and management of our RESTful APIs, ensuring top-notch performance and alignment with evolving requirements.
• Proficiency in Coding: We're in search of expertise in Python or equivalent programming languages. Your coding skills will play a pivotal role in delivering high-quality (efficient, reusable, testable, and scalable) solutions.
• Unit and Integration Testing: Apply your expertise to craft unit and integration tests, upholding code quality and reliability.
• Version Control Systems: Proficiency in Distributed Version Control Systems is vital for seamless collaboration during development.
• Elasticsearch Expertise: Having valuable experience with Elasticsearch is a plus, given its critical role in data retrieval and search functionalities.
• NOSQL Database Familiarity: Knowledge of NOSQL databases like Cassandra and MongoDB will be advantageous.
• Message Broker Knowledge: Understanding message brokers, especially RabbitMQ, is beneficial for effective communication within our systems.

Desired Qualifications:

• Experience: 1-2 years of hands-on experience as a Python developer.
• AWS: Proficiency in AWS cloud management and architecting enterprise data solutions.
• Pragmatic Problem-Solving: Recognize when a solution should be streamlined and when creating the right abstraction will lead to long-term efficiency gains.
• Passion for Quality: Demonstrate dedication to producing work of the highest quality and following best practices.
• Agile/Lean Process: Familiarity with Agile/Lean methodologies is a plus, reflecting your adaptability and collaborative spirit.
• Startup Mindset: Embrace the challenges and opportunities of a startup environment, contributing your skills and insights to our growth.
• Debugging and Optimization: Showcase excellent debugging and optimization capabilities to enhance system performance.
• Tech Awareness: Stay updated on emerging technologies and possess a solid understanding of the full product development life cycle.
• UX and Information Architecture: Exhibit excellent knowledge of mobile user experience, information architecture, and industry trends.

Desired Experience

3+ years

Job Description

What You’ll Do

• Design financial systems for scale. Measure, plan, iterate.
• Writing reusable, testable, and efficient code
• Design and implementation of low-latency, high-availability, and performant applications
• Setup and own the engineering architectures built around event sourcing, application sharding, database sharding, service communication mesh, etc.
• The tech: Go, Google Cloud Spanner, Kafka, Redis

What you bring to the table

• 3+ years of experience. Relevant experience is preferred.
• Knowledge of 2 common programming languages - Python & Go / Java & Node / Rust
• Comfortable in linux command line, AWS or GCP
• Strong unit test and debugging skills
• Great communication skills

Bonus if you have…

• Love building great products and engineering systems from scratch
• Are a Self-starter, Hustler and Curious to Learn
• Have an understanding of fundamental design principles behind a scalable application
• Thrive in an early-stage startup environment with less stability and more ambiguity
• Have an interest in financial products and/or cryptocurrency

      Experience in C#, OOps, Javascript, HTML

·       Should have delivered successful end-to-end development to deployment experience on Web applications and Api’sin last 1-5 years

·         Experience in SQL is a must

·         Should have 1-5 years experience in backend development

·         Experience in service-based development using technologies such as Web API and RESTful services. 

·         Proficient in writing clean, well-structured code with proper abstraction and reusability.

.         Ability to work to tight deadlines, manage priorities, and take responsibility for delivering to time and quality requirements.

• Writing reusable, testable, and efficient code
• Design and implementation of low-latency, high-availability, and performant applications
• Analysis, Automate and backtest the existing strategies
• Employing statistical applications to visualize and/or transform the distribution or dispersion profile of individual signals and support the mathematical formulation of multiple signal algorithms to rank securities for investment.

• Candidates should have strong coding skills in Python (NumPy, Pandas, matplotlib, Zipline) /Django/Java script etc.
• Basic understanding of front-end technologies, such as HTML5, and CSS3
• Must have Database knowledge like Open source, PostgreSQL, MySQL/SQ
  Learnability, teamwork and flexibility are important traits we look for.

• Strong programming skills in Javascript/TypeScript, Python or Go.
• Hands-on experience in API development and frameworks such Express, Loopback, Hapi.
• Good Understanding of SQL and NoSQL database.
• Experience in test driven development. (writing unit test and API test).
• Understanding of basic cloud computing concepts and experience in using any of the major cloud service providers(AWS/GCP/Azure).
• Ability to build and deploy the application in a containerized environment.
• Understanding of application logging and monitoring systems like Prometheus or Kibana.

Qualification: 

• B.E/B.Tech/M.E./M.Tech/M.S. from a reputed university with a good academic record.
• Curiosity to explore the cutting edge technologies and bake them in the products.
• Zeal and drive to take end to end ownership.