Sr Python Developer

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

The requirements are as follows:

1) Familiar with the the Django REST API Framework.

2) Experience with the FAST API framework will be a plus

3) Strong grasp of basic python programming concepts ( We do ask a lot of questions on this on our interviews :) )

4) Experience with databases like MongoDB , Postgres , Elasticsearch , REDIS will be a plus

5) Experience with any ML library will be a plus.

6) Familiarity with using git , writing unit test cases for all code written and CI/CD concepts will be a plus as well.

7) Familiar with basic code patterns like MVC.

8) Grasp on basic data structures.

You can contact me on nine three one six one two zero one three two

Job Title : Backend / API Developer - Python (FastAPI) / Node.js (Express)

Location : Remote

Experience : 4+ Years

Job Description :

We are looking for a skilled Backend / API Developer - Python (FastAPI) / Node.js (Express) with strong expertise in building secure, scalable, and reliable backend systems. The ideal candidate should be proficient in Python (FastAPI preferred) or Node.js (Express) and have hands-on experience deploying applications to serverless environments.

Key Responsibilities :

• Design, develop, and maintain RESTful APIs and backend services.
• Deploy and manage serverless applications on Cloudflare Workers, Firebase Functions, and Google Cloud Functions.
• Work with Google Cloud services including Cloud Run, Cloud Functions, Secret Manager, and IAM roles.
• Implement secure API development practices (HTTPS, input validation, and secrets management).
• Ensure performance optimization, scalability, and reliability of backend systems.
• Collaborate with front-end developers, DevOps, and product teams to deliver high-quality solutions.

Mandatory Skills :

Python (FastAPI) / Node.js (Express), Serverless Deployment (Cloudflare Workers, Firebase, GCP Functions), Google Cloud Services (Cloud Run, IAM, Secret Manager), API Security (HTTPS, Input Validation, Secrets Management).

Required Skills :

• Proficiency in Python (FastAPI preferred) or Node.js (Express).
• Hands-on experience with serverless platforms (Cloudflare Workers, Firebase Functions, GCP Functions).
• Familiarity with Google Cloud services (Cloud Run, IAM, Secret Manager, Cloud Functions).
• Strong understanding of secure API development (HTTPS, input validation, API keys & secret management).
• Knowledge of API design principles and best practices.
• Ability to work with CI/CD pipelines and modern development workflows.

Preferred Qualifications :

• Strong knowledge of microservices architecture.
• Experience with CI/CD pipelines.
• Knowledge of containerization (Docker, Kubernetes).
• Familiarity with monitoring and logging tools.

Job Description: Software Engineer - Backend ( 3-5 Years)

Location: Bangalore

WHO WE ARE:

TIFIN is a fintech platform backed by industry leaders including JP Morgan, Morningstar, Broadridge, Hamilton Lane, Franklin Templeton, Motive Partners and a who’s who of the financial service industry. We are creating engaging wealth experiences to better financial lives

through AI and investment intelligence powered personalization. We are working to change the world of wealth in ways that personalization has changed the world of movies, music and more but with the added responsibility of delivering better wealth outcomes.

We use design and behavioral thinking to enable engaging experiences through software and application programming interfaces (APIs). We use investment science and intelligence to build algorithmic engines inside the software and APIs to enable better investor outcomes.

In a world where every individual is unique, we match them to financial advice and investments with a recognition of their distinct needs and goals across our investment marketplace and our advice and planning divisions.

OUR VALUES: Go with your GUT

●Grow at the Edge: We embrace personal growth by stepping out of our comfort zones to

discover our genius zones, driven by self-awareness and integrity. No excuses.

●Understanding through Listening and Speaking the Truth: Transparency, radical candor,

and authenticity define our communication. We challenge ideas, but once decisions are

made, we commit fully.

●I Win for Teamwin: We operate within our genius zones, taking ownership of our work

and inspiring our team with energy and attitude to win together.

Responsibilities:

• Contribute to the entire implementation process including driving the definition of improvements based on business needs and architectural improvements.

• Review code for quality and implementation of best practices.

• Promote coding, testing, and deployment best practices through hands-on research and demonstration.

• Write testable code that enables extremely high levels of code coverage.

• Ability to review frameworks and design principles toward suitability in the project context.

• Candidates who will demonstrate an ability to identify an opportunity lay out a rational plan for pursuing that opportunity, and see it through to completion.

Requirements:

• Engineering graduate with 3+ years of experience in software product development.

• Proficient in Python, Django, Pandas, GitHub, and AWS.

• Good knowledge of PostgreSQL, and MongoDB.

• Strong Experience in designing REST APIs.

• Experience with working on scalable interactive web applications.

• A clear understanding of software design constructs and their implementation.

• Understanding of the threading limitations of Python and multi-process architecture.

• Familiarity with some ORM (Object Relational Mapper) libraries.

• Good understanding of Test Driven Development.

• Unit and Integration testing.

• Preferred exposure to Finance domain.

• Strong written and oral communication skills.

Engineering Manager – Backend

Opportunity in this role / Why should you join us?

Series D funded supply chain startup.

Requirements

• Software engineering experience of greater than or equal to 7 years
• Experience managing a technical team of at least 3 people
• Exposure to consumer facing products
• Strong technical background and ability to contribute to design and review
• Familiarity with our tech stack or an analogous tech stack

Technologies Used

• Web application frameworks : Ktor, Spring Boot, Ruby on Rails, Node.js, Java Play, AWS Lambda
• Languages : Kotlin, Java, Ruby, Javascript, Python
• Datastores : PostgreSQL, Aerospike, Redis, DynamoDB, Amazon Redshift
• Communication : HTTP, Amazon SQS, Sidekiq, Amazon SNS
• Server management : Amazon ECS, Docker
• Design frameworks : Domain Driven Design, Clean Architecture, Layered Architecture

Roles and Responsibilities

This role requires a person to drive the engineering of a set of products by aligning with business and product

stakeholders and building and upskilling a team to aid in this. The responsibilities include:

Business and product alignment and planning

• Work closely with business and product stakeholders to understand and align with product initiatives and iterations.
• Help shape the engineering requirement by aligning with the product manager and fleshing out concepts and user flows.
• Formalize business requirements into roadmaps and sprints.

1. Product and system development

• Drive high level modeling and design for projects, also focusing on non-functional aspects, including but not limited to database design, communication protocols, deployment systems, etc.
• Drive adoption of design frameworks like domain driven design, clean architecture, etc., resulting in a robust layered architecture.
• Drive good code review practices, using the review process as a mentoring tool to upskill people.
• Ensure test coverage of systems, partly through unit and integration testing, and partly through blackbox testing by collaborating with the Quality Assurance team, via good testing practices.

1. Project Management

• Drive the execution of the project by delegating tasks effectively.
• Resolve blockers through technical expertise, negotiation and delegation.
• Estimate timelines and ensure adherence to them through effective sync-ups and course corrections.

1. Maintenance

• Formulate SLAs and oversee their adherence for the various systems, effectively tracking issues and performance inefficiencies.
• Performance monitoring and optimization for systems.
• Drive technical re-design, remodeling and refactoring of systems for robustness and sustainability.

1. Team Management

• Typically manage a team of 3 - 6 members and a portfolio of 3 - 6 products.
• Do periodic assessment of reportees, chart their career growth paths and train them.
• Recruit members into the team by collaborating effectively with the recruitment team.

Product Overview

You will be contributing to products concerning both customers and partner drivers. Product sectors

include:

• Growth : You’ll build tools to help boost user growth on the platform including our industry bestdriver on-boarding, training and certification system, referral system, and lead managementmmodels.
• Lifecycle Management : Build tools to help users engage with the platform better, which includes rewards and recognition module, subscription service, account management tools, partner and customer wallets and payout modules, and churn detection systems among others.
• Transaction Experience : You’ll help deliver the most delightful booking experience to our customers and drivers. As part of this team, you’ll be responsible for our core booking system, pricing and payment systems, location tracking and filtering services, fraud prevention systems, and in-app ticketing and support among others.
• Fulfilment : As part of the fulfilment team, you’ll work on systems which ensure high degree of ride fulfilment on the platform. Tools including allocation methodologies and system, dynamic pricing, dynamic partner routing, and partner re-activation tools among others.
• Enterprise Solutions : You’ll help Porter’s enterprise customers achieve delivery excellence. You’ll build tools for contract management, fleet management, fleet and route optimisation tools, alerting and monitoring tools, and analytics suite among others.