Senior VOIP Software 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

About the role

Webnyay is looking for an experienced Backend Developer to build and scale reliable backend systems for our legal tech platform. You will work on core product architecture, high-performance APIs, and cloud-native services that support AI-driven workflows and large-scale data processing.

Responsibilities

• Develop backend services using Python, Django, and FastAPI
• Build scalable APIs and microservices for product features
• Implement event-driven and asynchronous workflows using Kafka
• Design and maintain backend integrations and data pipelines
• Deploy and manage services on Google Cloud Platform (GCP)
• Ensure performance, security, and reliability of backend systems
• Collaborate with product and engineering teams to deliver production-ready features

Requirements

• 4+ years of backend development experience
• Strong proficiency in Python
• Hands-on experience with Django and FastAPI
• Experience working with Kafka or similar messaging systems
• Working knowledge of GCP and cloud-based deployments
• Solid understanding of backend architecture and API design
• Experience with databases and production systems
• Experience building SaaS or platform-based products
• Exposure to AI-driven or data-intensive applications

Why Webnyay

• Build technology that improves access to justice
• Work on real-world, high-impact legal tech problems
• Collaborative and ownership-driven work culture
• Opportunity to grow with a fast-scaling startup

Backend Developer

📍 Noida | 🕐 Full-Time | 🧭 Experience: 2–3 Years

The Mission

We aren't building traditional backend systems — we're powering the infrastructure behind Agentic Intelligence. TestMu AI is building the world's first AI-native platform where backend systems don't just serve requests, they enable autonomous decision-making, execution, and scale.

The name "TestMu" comes from our community conference. Our users and team aren't an audience — they're the heartbeat of what we build. We believe AI augments human potential. It doesn't replace it.

You'll be building the core backend systems that power AI-driven workflows — ensuring high performance, scalability, and reliability at every layer.

The Pillars of Impact

🚀 1. Core Backend & System Architecture (50%)

• Build and scale high-performance backend services and APIs
• Design efficient database schemas, query optimization, and data flows
• Write clean, logical, production-grade code (Python, Golang, or similar)
• Own system performance — latency, throughput, and reliability

⚙️ 2. Backend for AI Systems (30%)

• Develop backend systems supporting AI agents and autonomous workflows
• Handle large-scale data processing, async tasks, and event-driven systems
• Integrate backend infrastructure seamlessly with AI/ML components

🧠 3. Scalability & Distributed Systems (20%)

• Contribute to microservices architecture and service decomposition
• Build fault-tolerant, highly available distributed systems
• Optimize systems for high concurrency and real-time execution

Your Engineering Stack

Tech/ToolsPython / GolangBuilding core backend services and logic-heavy systemsAWS / GCPDeploying and scaling distributed backend infrastructureKafka / RabbitMQHandling asynchronous processing and event-driven workflows

The Bar

SignalCore Backend Experience2–3 years of hands-on experience building APIs, backend systems, and scalable servicesProblem-Solving AbilityStrong fundamentals in data structures, algorithms, and logical thinkingSystem Design UnderstandingAbility to design scalable backend systems with clear architectural thinkingOwnership & ExecutionExperience owning backend features end-to-end in a fast-paced environment

The Interview Loop · Screening for the Top 1%

RoundsRound I · Recruiter ScreenEvaluation of backend experience, problem-solving approach, and project depthRound II · Hiring ManagerDeep dive into backend projects, APIs, databases, and system design thinkingRound III · Domain LeadLive coding + backend problem-solving + discussion on scalability and distributed systemsFinal · LeadershipCulture fit, ownership mindset, and ability to operate in a high-velocity startup environment

Your Growth Trajectory TestMu AI is a high-growth environment where we promote based on complexity solved, not years of tenure. As a Backend Developer, you have a massive runway to scale from an Individual Contributor (IC) into a core Engineering Leadership role, working alongside pioneers in agentic intelligence.

Perks of the Future

• Health & Wellness: 100% premium covered insurance for you + family (spouse, kids, parents) with annual check-ups.
• Fuel for Innovation: Fresh, daily gourmet lunch and dinner served at our Noida HQ.
• Seamless Transit: Safe, GPS-enabled cab facilities for eligible shifts (home-office-home).
• POD Culture: Dedicated quarterly budgets for team-building, offsites, and collaborative celebrations.

Key Responsibilities

1. Full Stack Development • Design, develop, and maintain scalable web applications using Python and Django. • Build and maintain REST APIs using Django REST Framework. • Work on backend architecture, business logic, database schema, and API integrations. • Integrate frontend applications with backend APIs and ensure smooth end-to-end functionality. • Write clean, reusable, testable, and maintainable code. • Optimize application performance, database queries, API response time, and server-side logic. • Debug and resolve production and staging issues in a structured manner. • Review code written by team members and enforce coding standards. • Prepare and maintain technical documentation, API documentation, and deployment notes. • Participate in architecture decisions and suggest scalable technical solutions. Senior Full Stack Django Developer cum Project Manager JD | Hinjawadi, Pune

2. Project Management and Delivery • Understand client and internal product requirements and convert them into actionable technical tasks. • Prepare project plans, sprint plans, milestones, and delivery timelines. • Assign tasks to developers, QA, UI/UX, and support team members based on priorities. • Track daily progress, remove blockers, and ensure timely completion of planned work. • Conduct daily stand-ups, sprint reviews, release planning, and internal status meetings. • Coordinate between product, development, QA, implementation, support, and management teams. • Identify delivery risks early and take corrective action before timelines are impacted. • Ensure proper UAT support, bug tracking, release notes, and production deployment coordination. • Maintain task boards and project documentation using Jira, ClickUp, Trello, Asana, or similar tools.

3. Team Leadership • Lead and manage a team of approximately 8 members, including developers, testers, and other technical contributors. • Mentor junior and mid-level developers on technical implementation and best practices. • Ensure task ownership, accountability, and disciplined execution within the team. • Conduct code reviews and guide the team on better architecture, security, and performance practices. • Help team members resolve technical blockers and improve delivery quality. • Support onboarding and training of new developers when required. • Build a positive, structured, and performance-driven engineering culture.

4. Client Communication and Product Demos • Handle client calls, requirement discussions, project update meetings, and product walkthroughs. • Conduct confident and professional client demos for developed modules and product features. • Explain technical and product workflows to clients in simple business language. • Collect client feedback and convert it into clear development tasks. • Coordinate with clients during UAT, go-live, training, and post-deployment support. • Communicate timelines, dependencies, risks, and progress updates clearly. • Build trust with clients by ensuring structured communication and timely delivery.

Responsibilities:

• Collaborate with cross-functional teams, including front-end developers, product managers, and designers, to understand project requirements and translate them into technical specifications.

• Design and develop server-side logic, APIs, and database schema to support the functionality and performance requirements of our SaaS platform.

• Write clean, modular, and well-documented code using any relevant programming language preferably Java with SpringBoot.

• Optimize the backend systems for maximum speed and scalability, ensuring high performance and responsiveness of the application.

• Implement data storage solutions using PostgreSQL or other relational databases, ensuring data integrity and security.

• Conduct thorough testing and debugging to identify and resolve any issues or bugs in the backend code.

• Stay up-to-date with emerging technologies, industry trends, and best practices in backend development and contribute to the continuous improvement of our development processes.

Requirements:

• Proven work experience as a Backend Developer or similar role, with a focus on server-side development.

• Proficiency in working with relational databases, particularly PostgreSQL, and writing efficient SQL queries.

• Familiarity with SaaS concepts and architecture.

• Experience with API design and development, including RESTful APIs.

• Solid understanding of software development principles, including object-oriented programming, design patterns, and data structures.

• Experience with version control systems, such as Git.

• Strong problem-solving and analytical skills, with keen attention to detail.

• Excellent communication and teamwork skills, with the ability to collaborate effectively with cross-functional teams.

• Bachelor's degree in Computer Science, Engineering, or a related field is preferred, but not mandatory

1. Should be very strong Scala development(Coding)
2. With Any combination of Java/Python/Spark/Bigdata
3. 3+ years experience in Core Java/Scala with good understanding of multithreading
4. The candidate must be good with Computer Science fundamentals
5. Exposure to python/perl and Unix / K-Shell scripting
6. Code management tools such as Git/Perforce.
7. Experience with large batch-oriented systems 
8. DB2/Sybase or any RDBMS
9. Prior experience with financial products, particularly OTC Derivatives
10. Exposure to counterparty risk, margining, collateral or confirmation systems

• 3+ years of work experience as a Python Developer. 
• Sound understanding and knowledge of Python and its ecosystem libraries like pandas and numpy. Also be able to write modular code and understand the python packaging system. 

• Experience on web crawling, scraping (Scrapy,BeautifulSoup, Selenium) and web application development using Django/Flask Framework. 
• Experience on Data-Science; exposure to Theanos, Tensorflow, Pytorch (preferable) 
• Exposure to data mining, Pyspark (preferable)