Backend 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

Role & Responsibilities

Own the Client’s Outcome:

• Embed with enterprise customers – on-site and remotely – to understand their supply chain operations, data estate, and what success actually looks like for their business.
• Scope and design technical solutions for messy, real-world logistics problems – with a clear line to measurable impact: cost per delivery, SLA performance, empty kilometres.
• Own the full deployment lifecycle: architecture through go-live through steady-state. You’re accountable for the outcome, not just the code.

Build and Ship:

• Design, build, and maintain backend services in Node.js or Python that power routing, planning, and execution at enterprise scale.
• Build and own the integrations connecting Locus to client ERPs, TMS, WMS, and OMS platforms – these integrations are often the riskiest part of a deployment.
• Write production code that runs under real load. If it isn’t in production, it hasn’t shipped.

Be the Technical Interface with the Client:

• Run architecture reviews, lead integration workshops, and represent Locus in executive steering meetings. You need to be credible at every level of the client organisation.
• Bring field learnings back into the product and platform teams. Some of Locus’s best features started as a client workaround.
• Push back when a client request would compromise platform integrity – and propose a better alternative.

Show Up On-Site:

• Travel to client sites – domestic and international, up to ~30% of the time – for kick-offs, integration sprints, go-lives, and post-live reviews.
• Build the kind of relationship where the client’s ops lead calls you directly when something goes wrong at 2am, not a support ticket.
• Be comfortable wherever the work is: a warehouse floor, a logistics control tower, a C-suite boardroom.

Make the Next Deployment Easier:

• Document architecture decisions, integration patterns, and deployment playbooks – every engagement should make the next one faster.
• Work closely with Product, Customer Success, and Platform Engineering. Share what you’re seeing in the field; don’t wait to be asked.
• Mentor junior FDEs and raise the technical bar across the team.

Ideal Candidate

• Strong Forward Deployed / Field Engineer
• Mandatory (Experience 1): Must have 5+ years of backend engineering experience with hands-on coding in Node.js or Python, building production-grade systems
• Mandatory (Experience 2): Must have minimum 2+ years in client-facing / deployment-heavy roles, where they worked directly with enterprise customers
• Mandatory (Experience 3): Must have experience shipping and owning production systems end-to-end: From design → build → deployment → post-production support
• Mandatory (Tech Skills 1 - Backend & Systems): Strong in: Node.js or Python (must-have), Building scalable backend services
• Mandatory (Tech Skills 2 - Integrations): Must have experience with: Enterprise integrations (APIs, third-party systems), Systems like ERP / TMS / WMS / OMS
• Mandatory (Tech Skills 3 - Data & Messaging): Hands-on with: Relational + NoSQL databases, Event streaming / queues (Kafka / RabbitMQ or similar)
• Mandatory (Tech Skills 4 - Cloud & Deployment): Experience with: Cloud platforms (AWS / GCP / Azure), Docker + Kubernetes (or containerised deployments)
• Mandatory (Company): Top Product companies / Startups / SaaS / platform companies

Candidate must have 6+ years of backend engineering experience, with 1–2 years leading engineers or owning major systems.

Candidate must be from a product-based organization with a startup mindset.

Must be strong in one core backend language: Node.js, Go, Java, or Python.

Deep understanding of distributed systems, caching, high availability, and microservices architecture.

Hands-on experience with AWS/GCP, Docker, Kubernetes, and CI/CD pipelines.

Strong command over system design, data structures, performance tuning, and scalable architecture

Ability to partner with Product, Data, Infrastructure, and lead end-to-end backend roadmap execution.

Job Title: Tech Lead (Backend Heavy)

Location: Onsite – Indore (Vijaynagar), MP, India

Experience: 4–6 Years

Notice Period: Immediate to 30 days preferred

Company Overview

Kuvaka Tech builds scalable, high-performance products across Web2 and Web3 ecosystems. We operate in a fast-paced startup environment, focusing on delivering efficient, production-ready solutions within tight timelines.

Role Overview

We are looking for a Tech Lead who is backend-heavy, highly product-driven, and capable of owning end-to-end technical execution. The ideal candidate should be comfortable working across multiple backend stacks, while also having enough frontend understanding to unblock issues independently.

This role requires someone who can solve problems proactively, handle technical blockers without unnecessary escalations, and drive projects efficiently in a startup environment.

Key Responsibilities

Technical Ownership

• Take end-to-end ownership of projects from planning to deployment
• Ensure timely delivery under tight deadlines
• Maintain high standards of code quality, scalability, and performance

Backend Development (Core Focus)

• Design and build scalable backend systems using Python and other backend stacks
• Architect APIs, services, and data flows for high-performance applications
• Handle complex technical challenges independently

Frontend Awareness

• Possess working knowledge of frontend technologies (React.js / Next.js)
• Be capable of debugging and resolving frontend issues when required

Problem Solving & Execution

• Identify and resolve technical blockers independently before escalation
• Drive solutions with a cost-efficient and time-efficient approach
• Optimise system performance and architecture
• 
  

Innovation & Product Thinking

• Contribute new ideas and technical improvements
• Think from a product perspective, not just implementation
• Continuously improve processes and delivery speed

Collaboration & Leadership

• Work closely with cross-functional teams (Product, Design, Engineering)
• Communicate effectively with stakeholders
• Guide junior developers when required

Required Skills-

Core Technical

• Strong experience in Python (Django/FastAPI preferred)
• Experience with multiple backend stacks (Node.js, etc. is a plus)
• Solid understanding of system design, APIs, and databases

Frontend Understanding

• Hands-on or working knowledge of React.js / modern frontend frameworks

Engineering Mindset

• Strong problem-solving skills
• Ability to handle pressure and tight deadlines
• Experience working in startup environments

Ideal Candidate Profile

• 4–6 years of experience in product-based or startup environments
• Has worked on multiple projects end-to-end
• Highly productive, proactive, and ownership-driven
• Strong communication skills
• Ability to take initiative and make decisions independently
• Focused on efficiency, scalability, and execution speed

What We’re Looking For

• Someone who doesn’t wait for instructions but takes initiative
• A problem solver who fixes issues before they escalate
• A tech-driven thinker with strong execution capability
• Comfortable in fast-moving, high-pressure startup setups

Hiring Process

• HR Round
• Assignment
• Technical Round
• Cultural Fit Round
• Founder’s Call

We are seeking a skilled Java Developer with hands-on experience in Java and Spark to build scalable data processing solutions. You'll contribute to high-performance data pipelines and analytics platforms in a dynamic Agile environment.

Key Responsibilities

• Design and develop Java applications integrated with Apache Spark for ETL processes, data transformations, and analytics.
• Build and optimize Spark jobs (Spark SQL, DataFrames, Streaming) for large-scale data processing.
• Collaborate with data engineers and analysts to implement robust data workflows.
• Write clean, maintainable Java code following best practices (Spring Boot, Microservices preferred).
• Perform code reviews, unit testing, and contribute to CI/CD pipelines.
• Troubleshoot and optimize Spark performance for production workloads.
• Document technical solutions and mentor junior developers.

Required Skills & Qualifications

• 4-7 years of hands-on Java development experience.
• Strong expertise in Apache Spark (Spark Core, Spark SQL, PySpark basics).
• Proficiency in Java 8/11+ with multithreading and collections frameworks.
• Experience with data processing (ETL, data pipelines, big data).
• Familiarity with build tools (Maven/Gradle) and version control (Git).
• Strong problem-solving skills and Bangalore location availability.
• Excellent communication skills for cross-team collaboration.

Good to Have

• Experience with Snowflake for cloud data warehousing.
• Knowledge of DBT (Data Build Tool) for analytics engineering.
• Python scripting for data manipulation and automation.
• Exposure to AWS/GCP/Azure cloud platforms.
• Familiarity with Kafka, Airflow, or containerization (Docker/Kubernetes).

As a software engineer, you will be the part of a team that focuses on building software applications that scale well. You will play a significant role in shaping our software architecture that provides measurable customer value. You understand both technology and business to know the right trade-offs to make. You will be a technical mentor for your team members. You will work closely with your peers, managers, product, design, and operations teams to create solutions that meet business requirements. You will drive engineering and operational excellence across Scatter. You will collaborate with other engineers to surface common pain points, develop solutions and evangelize best practices.

Qualifications:

2-3 years of professional software engineering experience building customer-facing web and/or mobile applications Strong coding skills using Python, Django, is mandatory. Knowledge on Html, Css, React Js, Jquery, Bootstrap or equivalent programming language is added advantage Graduated from Tier 1 or Tier 2 engineering colleges Excellent knowledge of Data Structures and Algorithms Bachelor or Master degree in Computer Science or a related discipline Experience working in an agile environment Self-quick learner and passionate problem solver Excellent debugging and troubleshooting skills, with an enthusiastic attitude to support and resolve customer problems Good oral and written communication skills Above all, an insatiable desire and ability to learn

Nice to have skills:

Experience with large-scale SaaS applications Experience building web and mobile applications Experience designing services on top of cloud infrastructure like AWS, Azure, etc Prior experience in building product from 0-1

Benefits

Ownership and autonomy to drive customer and culture initiatives Opportunity to get mentored and mentor junior engineers Remote work

Required Skills:

• Expert in Python and Django framework
• Expert in developing backend applications with RESTful APIs Using Django Rest Framework
• Good understanding of front-end technologies, such as JavaScript, ReactJS , HTML5, and CSS3
• Understanding of fundamental design principles behind a scalable application
• Proficient understanding of GitHub
• Strong programming basics, with a clear understanding of Object-Oriented and Functional programming.
• Good communication skills and ability to work with global teams to define and deliver on projects.

Key Skills:

1. One or more of Python/PHP/Ruby/NodeJS/Java

2. Sound object-oriented skills, including strong design patterns knowledge

2. REST APIs

3. MVC architecture

4. MySQL/PostgreSQL

5. Exp with at least 1 NoSQL databases MongoDB/Memcache/Redis/

6. Exp with search technologies Elasticsearch/Solr

7. Exp building messaging based asynchrounous systems RabbitMQ/Kafka/SQS/Celery will be added advantage

8. Exp with Django/Flask frameworks will be added advantage

9. Knowledge of software best practices like Test-Driven Development (TDD) and Continuous Integration (CI) will be added adnavtage

Requirements:

1. Developing software solutions in conjunction with Relational theory, Rest APIs and NoSQL database technologies

2. Knowledge of cloud based technologies in AWS or Azure will be added advantage

3. Understanding of RDBMS technologies like MySQL, PostgreSQL.

4. Hands-on with Version control systems (GIT, SVN) and Unix/Ubuntu.

5. Experience in requirement analysis, HLD, LLD, unit & integration testing.

6. Good hands on experience in debugging application issues

TL;DR

1) Top performer in the company

2) Has worked with product based startup company

3) Ambitious and hardworking