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

🚀 Job Title : Backend Engineer (Go / Python / Java)

Experience : 3+ Years

Location : Bangalore (Client Location – Work From Office)

Notice Period : Immediate to 15 Days

Open Positions : 4

Working Days : 6 Days a Week

🧠 Job Summary :

We are looking for a highly skilled Backend Engineer to build scalable, reliable, and high-performance systems in a fast-paced product environment.

You will own large features end-to-end — from design and development to deployment and monitoring — while collaborating closely with product, frontend, and infrastructure teams.

This role requires strong backend fundamentals, distributed systems exposure, and a mindset of operational ownership.

⭐ Mandatory Skills :

Strong backend development experience in Go / Python (FastAPI) / Java (Spring Boot) with hands-on expertise in Microservices, REST APIs, PostgreSQL, Redis, Kafka/SQS, AWS/GCP, Docker, Kubernetes, CI/CD, and strong DSA & System Design fundamentals.

🔧 Key Responsibilities :

• Design, develop, test, and deploy backend services end-to-end.
• Build scalable, modular, and production-grade microservices.
• Develop and maintain RESTful APIs.
• Architect reliable distributed systems with performance and fault tolerance in mind.
• Debug complex cross-system production issues.
• Implement secure development practices (authentication, authorization, data integrity).
• Work with monitoring dashboards, alerts, and performance metrics.
• Participate in code reviews and enforce engineering best practices.
• Contribute to CI/CD pipelines and release processes.
• Collaborate with product, frontend, and DevOps teams.

✅ Required Skills :

• Strong proficiency in Go OR Python (FastAPI) OR Java (Spring Boot).
• Hands-on experience building Microservices-based architectures.
• Strong understanding of REST APIs & distributed systems.
• Experience with PostgreSQL and Redis.
• Exposure to Kafka / SQS or other messaging systems.
• Hands-on experience with AWS or GCP.
• Experience with Docker and Kubernetes.
• Familiarity with CI/CD pipelines.
• Strong knowledge of Data Structures & System Design.
• Ability to independently own features and solve ambiguous engineering problems.

⭐ Preferred Background :

• Experience in product-based companies.
• Exposure to high-throughput or event-driven systems.
• Strong focus on code quality, observability, and reliability.
• Comfortable working in high-growth, fast-paced environments.

🧑‍💻 Interview Process :

• 1 Internal Screening Round
• HR Discussion (Project & Communication Evaluation)
• 3 Technical Rounds with Client

This is a fresh requirement, and interviews will be scheduled immediately.

Role: Core infrastructure for two global applications.

Key responsibilities:

Heavy Data Lifting: Designing and maintaining complex MongoDB aggregation pipelines and executing high-volume bulk updates.

Systems Connectivity: Managing the lifecycle of Bridges, WebSockets, and REST APIs for global traffic.

Global Reliability: Troubleshooting performance regressions, managing SSL/TLS certificates, and optimizing AWS S3/EC2 resources.

Core Logic: Implementing server-side push notifications, custom payment flows, and background Cron orchestration.

Requirements (Must Have)

Production Experience: Proven experience managing backend services for live, high-traffic applications. (Must have)

Note: Learning projects, bootcamps, and online courses will not be considered.

Python Mastery: Expert-level proficiency in backend Python development. (Must have)

MongoDB Expertise: Deep knowledge of Aggregations and Bulk operations. (Must have)

AWS Proficiency: Direct experience with S3 and EC2 in a production setting. (Must have)

Infrastructure Logic: Ability to manage SSL/Encryption and optimize resource allocation (Cron vs. API). (Must have)

About Corridor Platforms

Corridor Platforms is a leader in next-generation risk decisioning and responsible AI governance, empowering banks and lenders to build transparent, compliant, and data-driven solutions. Our platforms combine advanced analytics, real-time data integration, and GenAI to support complex financial decision workflows for regulated industries.

Role Overview

As a Backend Engineer at Corridor Platforms, you will:

• Architect, develop, and maintain backend components for our Risk Decisioning Platform.
• Build and orchestrate scalable backend services that automate, optimize, and monitor high-value credit and risk decisions in real time.
• Integrate with ORM layers – such as SQLAlchemy – and multi RDBMS solutions (Postgres, MySQL, Oracle, MSSQL, etc) to ensure data integrity, scalability, and compliance.
• Collaborate closely with Product Team, Data Scientists, QA Teams to create extensible APIs, workflow automation, and AI governance features.
• Architect workflows for privacy, auditability, versioned traceability, and role-based access control, ensuring adherence to regulatory frameworks.
• Take ownership from requirements to deployment, seeing your code deliver real impact in the lives of customers and end users.

Technical Skills

• Languages: Python 3.9+, SQL, JavaScript/TypeScript, Angular
• Frameworks: Flask, SQLAlchemy, Celery, Marshmallow, Apache Spark
• Databases: PostgreSQL, Oracle, SQL Server, Redis
• Tools: pytest, Docker, Git, Nx
• Cloud: Experience with AWS, Azure, or GCP preferred
• Monitoring: Familiarity with OpenTelemetry and logging frameworks

Why Join Us?

• Cutting-Edge Tech: Work hands-on with the latest AI, cloud-native workflows, and big data tools—all within a single compliant platform.
• End-to-End Impact: Contribute to mission-critical backend systems, from core data models to live production decision services.
• Innovation at Scale: Engineer solutions that process vast data volumes, helping financial institutions innovate safely and effectively.
• Mission-Driven: Join a passionate team advancing fair, transparent, and compliant risk decisioning at the forefront of fintech and AI governance.

What We’re Looking For

• Proficiency in Python, SQLAlchemy (or similar ORM), and SQL databases.
• Experience developing and maintaining scalable backend services, including API, data orchestration, ML workflows,  and workflow automation.
• Solid understanding of data modeling, distributed systems, and backend architecture for regulated environments.
• Curiosity and drive to work at the intersection of AI/ML, fintech, and regulatory technology.
• Experience mentoring and guiding junior developers.

Ready to build backends that shape the future of decision intelligence and responsible AI?

Apply now and become part of the innovation at Corridor Platforms!

Key Responsibilities:

● Work closely with product managers, designers, frontend developers, and other

cross-functional teams to ensure the seamless integration and alignment of frontend and

backend technologies, driving cohesive and high-quality product delivery.

● Develop and implement coding standards and best practices for the backend team.

● Document technical specifications and procedures.

● Stay up-to-date with the latest backend technologies, trends, and best practices.

● Collaborate with other departments to identify and address backend-related issues.

● Conduct code reviews and ensure code quality and consistency across the backend team.

● Create technical documentation, ensuring clarity for future development and

maintenance.

Requirements;

● Experience: 4-6 years of hands-on experience in backend development, with a strong

background in product-based companies or startups.

● Education: Bachelor’s degree or above in Computer Science or a related field.

● Programming skills: Proficient in Python and software development principles, with a

focus on clean, maintainable code, and industry best practices. Experienced in unit

testing, AI-driven code reviews, version control with Git, CI/CD pipelines using GitHub

Actions, and integrating New Relic for logging and APM into backend systems.

● Database Development: Proficiency in developing and optimizing backend systems in

both relational and non-relational database environments, such as MySQL and NoSQL

databases.

● GraphQL: Proven experience in developing and managing robust GraphQL APIs,

preferably using Apollo Server. Ability to design type-safe GraphQL schemas and

resolvers, ensuring seamless integration and high performance.

● Cloud Platforms: Familiar with AWS and experienced in Docker containerization and

orchestrating containerized systems.

● System Architecture: Proficient in system design and architecture with experience in

developing multi-tenant platforms, including security implementation, user onboarding,

payment integration, and scalable architecture.

● Linux Systems: Familiarity with Linux systems is mandatory, including deployment and

management.

● Continuous Learning: Stay current with industry trends and emerging technologies to

influence architectural decisions and drive continuous improvement.

Benefits:

● Competitive salary.

● Health insurance.

● Casual dress code.

● Dynamic & Collaboration friendly office.

● Hybrid work schedule.

Industry

• IT Services and IT Consulting

Employment Type

Full-time

Job Title: Sr. Node.js Developer

Location: Ahmedabad, Gujarat

Job Type: Full Time

Department: MEAN Stack

About Simform:

Simform is a premier digital engineering company specializing in Cloud, Data, AI/ML, and Experience Engineering to create seamless digital experiences and scalable products. Simform is a strong partner for Microsoft, AWS, Google Cloud, and Databricks. With a presence in 5+ countries, Simform primarily serves North America, the UK, and the Northern European market.

Simform takes pride in being one of the most reputed employers in the region, having created a thriving work culture with a high work-life balance that gives a sense of freedom and opportunity to grow.

Role Overview: 

We are looking for a Sr. Node Developer who not only possesses extensive backend expertise but also demonstrates proficiency in system design, cloud services, microservices architecture, and containerization. (Additionally, a good understanding of frontend tech stack to give support to frontend developers is highly valued) We're currently seeking a seasoned Senior Node.js Engineer who not only possesses extensive backend expertise but also demonstrates proficiency in system design, cloud services, microservices architecture, and containerization. (Additionally, a good understanding of frontend tech stack to give support to frontend developers is highly valued) 

Key Responsibilities:

• Develop reusable, testable, maintainable, and scalable code with a focus on unit testing.
• Implement robust security measures and data protection mechanisms across projects.
• Champion the implementation of design patterns such as Test-Driven Development (TDD) and Behavior-Driven Development (BDD).
• Actively participate in architecture design sessions and sprint planning meetings, contributing valuable insights.
• Lead code reviews, providing insightful comments and guidance to team members.
• Mentor team members, assisting in debugging complex issues and providing optimal solutions.

Required Skills & Qualifications:

• Excellent written and verbal communication skills.
• Experience: 4+yrs
• Advanced knowledge of JavaScript and TypeScript, including core concepts and best practices.
• Extensive experience in developing highly scalable services and APIs using various protocols.
• Proficiency in data modeling and optimizing database performance in both SQL and NoSQL databases.
• Hands-on experience with PostgreSQL and MongoDB, leveraging technologies like TypeORM, Sequelize, or Knex.
• Proficient in working with frameworks like NestJS, LoopBack, Express, and other TypeScript-based frameworks.
• Strong familiarity with unit testing libraries such as Jest, Mocha, and Chai.
• Expertise in code versioning using Git or Bitbucket.
• Practical experience with Docker for building and deploying microservices.
• Strong command of Linux, including familiarity with server configurations.
• Familiarity with queuing protocols and asynchronous messaging systems.

Preferred Qualification:

• Experience with frontend JavaScript concepts and frameworks such as ReactJS.
• Proficiency in designing and implementing cloud architectures, particularly on AWS services.
• Knowledge of GraphQL and its associated libraries like Apollo and Prisma.
• Hands-on experience with deployment pipelines and CI/CD processes.
• Experience with document, key/value, or other non-relational database systems like Elasticsearch, Redis, and DynamoDB.
• Ability to build AI-centric applications and work with machine learning models, Langchain, vector databases, embeddings, etc.

Why Join Us:

• Young Team, Thriving Culture
• Flat-hierarchical, friendly, engineering-oriented, and growth-focused culture.
• Well-balanced learning and growth opportunities
• Free health insurance.
• Office facilities with a game zone, in-office kitchen with affordable lunch service, and free snacks.
• Sponsorship for certifications/events and library service.
• Flexible work timing, leaves for life events, WFH, and hybrid options

The Role:

We are looking for an enthusiastic Technology Lead (Python or Node), who adopts a hands-on approach and loves to build scalable, distributed and large web / mobile products. You would be responsible for designing the architecture, reviewing the code, building the technology and deploying web/mobile applications.

Responsibilities:

• Own the product development from scratch.
• Design and implementation of low-latency, high-availability, and performant applications.
• Architect scalable software solutions and mentor a team of high performing developers.
• Participate in code reviews, design reviews, SCRUM ceremonies, and troubleshoot to ensure uptime for live systems etc.

Requirements:

• Bachelor's degree in a technology-related field from a premier college.  
• Prior 4+ years of experience in back-end development (Python/ Golang) in a start-up or a dynamic work environment.
• Good exposure in writing and optimizing SQL for high-performance systems.
• Understanding of asyncio and eventloop/ uvloop concepts. Knowledge of frameworks such as Quart/ Fastapi/ Starlette is preferred.
• Knowledge of AWS; Caching technologies like Redis, Memcache; ELK; mySQL Databases, etc.
• Strong understanding of System Design, Microservice Architecture, Kafka, Pub/Sub, Message queues, and in-memory data stores etc.
• Customer oriented, responsive to changes, and able to multi-task in a fast-paced environment.