
Location: Bangalore
Experience: 2–5 years
Type: Full-time | On-site
Open Roles: 2
Start: Immediate
Why this role exists
Most systems work at a low scale.
Very few survive real production load, complex workflows, and enterprise edge cases.
We are building a platform that must:
- Scale from 500K → 20M+ interactions/month
- Handle complex insurance workflows reliably
- Become easier to deploy as it grows, not harder
This role exists to build the backend foundation that makes this possible.
What you’ll do
You will not just write services.
You will design and own core platform systems.
1. Scale the platform without breaking architecture
- Scale from 50K → 2M+ interactions/month
- Ensure:
- High availability
- Low latency
- Fault tolerance
- Avoid large rewrites — build systems that evolve cleanly
2. Build the workflow automation (WA) engine
- Design a flexible system with:
- States
- Stages
- Cohorts
- Dynamic workflows
- Ensure workflows:
- Handle edge cases reliably
- Can be configured easily
- Move from:
- Hardcoded flows → configurable execution engine
3. Build the insurance-specific data layer
- Design data models for:
- Policy states
- Claim workflows
- Consent tracking
- Ensure the system works across:
- Multiple insurers
- Multiple use cases
- Build a platform-first data layer, not use-case-specific hacks
4. Make deployment and setup simple
- Ensure workflows and data models are:
- Easy to configure
- Easy to launch
- Reduce friction for:
- Product teams
- Deployment teams
5. Create a compounding data advantage
- Build a data layer that:
- Improves with every deployment
- Captures structured signals
- Ensure data becomes a long-term edge, not just storage
6. Own production reliability
- Participate in on-call rotation across 3 engineers
- Ensure:
- Incidents are handled quickly
- Root causes are fixed permanently
- Build systems where reliability is shared, not individual
What success looks like
- Platform scales to 2M+ interactions/month smoothly
- Workflow engine supports complex, dynamic use cases
- Data layer enables fast deployment across accounts
- Edge cases are handled without constant firefighting
- System becomes easier to use as it grows
- Production issues are rare and predictable
Who you are
- You have 2-5 years of backend engineering experience
- You have built:
- Scalable systems
- Distributed services
- You think in:
- Systems
- Data models
- Trade-offs
- You are comfortable owning:
- Architecture
- Production systems
What will make you stand out
- Experience building:
- Workflow engines
- State machines
- Data-heavy platforms
- Strong understanding of:
- System design
- Distributed systems
- Failure handling
- Experience working in:
- High-scale production environments
Why join
- You will build the core backend of an AI platform
- Your work directly impacts:
- Scale
- Reliability
- Product capability
- You will design systems that move from:
- Use-case specific → platform-level infrastructure
What this role is not
- Not just API development
- Not limited to feature-level work
- Not disconnected from production realities
What this role is
- A system architect
- A builder of scalable platforms
- A driver of long-term technical advantage
One question to self-evaluate
Can you design backend systems that scale, handle edge cases, and become easier to use as they grow?

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Mandatory (Experience 1) – Must have 3+ years of experience in application development using Python (Django) with atleast 6 months of hands on experience building GenAI applications in production
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Mandatory (Education) – Must have a full-time B.E./B.Tech degree, with a minimum of 60% throughout (10th, 12th and B.E./B.Tech). Only B.E./B.Tech is considered; however, the 60% benchmark can be relaxed for candidates with strong technical skills (Kindly mention in resume)
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Mandatory (Company): IT services/IT consulting
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: Python Developer - Django (Full Time)
Location: Gurgaon, Onsite
Interview: Virtual Interview
Experience Required: 3+ Years
About the Role
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- Design, develop, and maintain backend services using Python and Django.
- Implement and optimize task queues using Celery with Redis/RabbitMQ as brokers.
- Develop and integrate event-driven systems using Apache Kafka.
- Write clean, reusable, and efficient code following best practices.
- Build RESTful APIs and integrate with external services.
- Ensure performance, scalability, and security of applications.
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- Troubleshoot and debug issues in production and staging environments.
Required Skills & Experience
- 2+ years of professional experience in Python backend development.
- Strong knowledge of Django Framework.
- Hands-on experience with Celery, Redis, RabbitMQ, and Kafka.
- Good understanding of REST API design principles.
- Experience with relational databases (PostgreSQL/MySQL).
- Familiarity with version control (Git) and Agile development.
- Strong problem-solving skills and ability to work in a fast-paced environment.
Job description
“I DESIGN MY LIFE” is an Online Business Consulting/ Coaching Company headed by renowned Business Coach – Sumit Agarwal. We provide online consulting and trainings to Business Owners of SMEs, MSMEs across India.
You can find more about us here: https://idesignmylife.net/careers/
This is a hands-on position. The role will have the following aspects:
POSITION: Software Developer
LOCATION: Full time(permanent) work from home opportunity
LANGUAGES: JavaScript, MySQL, Python, Erp Next, HTML, CSS, and Bootstrap
ROLE : We are looking for people who can
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- Have written complex software
- Self-starters - Can read the docs and don't need hand-holding
- Experience in Python/Javascript/jQuery/Vue/MySQL will be a plus
- Functional knowledge of ERP will be a plus
Basic Qualifications
- BE / B.Tech - IT/ CS
- 1 / 2+ years of professional experience
- Strong C# and SQL skills
- Strong skills in React and TypeScript
- Familiarity with AWS services or experience working in other cloud computing environments.
- Experience with SQL Server and PostgreSQL.
- Experience with automated unit testing frameworks.
- Experience in designing and implementing REST APIs & micro services-based solutions.
Job Types: Full-time, Permanent
Pay: ₹336,354.85 - ₹691,451.90 per year
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- Engage cross-organizational teams such as Product Management, Integrations, Services, Support, and Operations, to ensure the success of overall software development, implementation, and deployment.
- Requirements:
Ideal candidate should have
- 7+ years of system implementation experience
- Experience with any of the following languages like Java / Nodejs / ROR / Python
- Expertise in micro service / Data modelling / AWS / Messaging
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- Good Experience in working with technologies like AWS, Redis,
- Experience in messaging systems like SQS/RabbitMQ
- Good knowledge of caching, Databases, distributed systems.
- Strong problem solving and analytical skills
- Good experience with Devops
Minimum 5-7years of professional experience building web-applications
Strong experience in backend development
Strong experience in AI/Machine Learning development, Data Analysis/Processing
Experience in creating robust and secure REST APIs
Hands-on exposure to RDBMS like PostgreSQL, MySQL, MariaDB etc.
Proficiency with one or more programming languages from Java, Python, Node/JavaScript
Solid familiarity working with cloud and related technologies, AWS, GCP and Azure cloud environments
Ability to do very quick research in unknown technologies
Startup mindset, comfort with chaos and multi-tasking ability
Strong programming fundamentals in Data Structures, Algorithms
An eye for writing performance optimum code in any tool set









