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Back End Developer

Nxtagent.ai

4 - 8 years

Hyderabad

Posted: 13/06/2026

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Job Description

COMPANY PROFILE

Company Name: Synexa global Pvt Ltd. Product (NxtagentAI)

About Us

NxtagentAI is an agentic AI-powered platform designed to support students across their entire

growth journey from learning fundamentals and building real-world skills to becoming career-ready

with confidence.

We go beyond traditional education by bringing together learning, skill development, and career

preparedness into one connected experience. Through a network of intelligent AI agents, NxtAgent

helps students understand where they stand, what they need to improve, and how to move forward

with clarity and purpose.Our agents personalize learning paths, strengthen core and applied skills, and

provide continuous feedback aligned with academic goals and industry expectations. By reducing

confusion, uncertainty, and trial-and-error, we help learners progress faster and with greater

confidence.

In an ever-changing job market, NxtAgent equips students not just with knowledge, but with the

ability to adapt, communicate, and grow sustainably. Built with a learner-first mindset, our platform

delivers structured, supportive, and outcome-driven experiences that prepare students for both todays

challenges and tomorrows opportunities.


Job Title : Senior Backend Developer

Employment Type : Full-Time

Experience : 4-8 Years

Location : Hyderabad

Job Summary

We are seeking an experienced Backend Developer with strong expertise in Python and

FastAPI to build scalable, AI-powered, real-time backend systems.

The ideal candidate will have experience designing high-performance APIs, integrating AI

services, implementing event-driven architectures, handling streaming applications, and

optimizing cloud infrastructure.

You will contribute to enterprise-grade products including Virtual Interview Platforms,

Conversational AI Systems, Speech Analytics Platforms, and AI-powered Workforce

Solutions.

Key Responsibilities

Backend Development

Design and develop scalable backend applications using Python and FastAPI

Build secure REST APIs and microservices

Implement authentication, authorization, and RBAC systems

Design maintainable backend architectures

Real-Time Systems

Develop WebSocket-based applications

Build live audio and video streaming systems

Optimize low-latency communication pipelines

Support real-time AI-powered platforms

AI Service Integration


Integrate ASR solutions

Integrate TTS solutions

Integrate Avatar AI platforms

Build conversational AI workflows

Work with LLM APIs and inference services

Distributed Systems

Design event-driven architectures

Implement Kafka and RabbitMQ pipelines

Build asynchronous processing systems

Develop background job processing mechanisms

Database & Storage

Design scalable database solutions

Optimize indexing and query performance

Manage large media files and storage pipelines

Build high-performance data architectures

Cloud & Infrastructure

Work with AWS services

Optimize infrastructure costs

Collaborate with DevOps teams

Support scalable deployments

Required Skills

Backend Technologies

Python

FastAPI

Async Programming

REST APIs

WebSockets

Messaging & Distributed Systems

Apache Kafka

RabbitMQ

Event-Driven Architecture

Producer-Consumer Patterns

Databases

MongoDB

PostgreSQL

MySQL

Database Design

Query Optimization

Caching

Redis

Distributed Caching

Rate Limiting

AI Technologies

OpenAI

Azure AI

Deepgram

AssemblyAI

Whisper

ElevenLabs

Conversational AI

Cloud Technologies

AWS

EC2

Lambda

S3

Auto Scaling

Docker

Kubernetes

Preferred Qualifications

Bachelor's or Master's Degree in Computer Science or related field

Experience building AI-powered products

Experience in speech processing systems

Experience with large-scale distributed systems

Strong system design knowledge

Good to Have

ELK Stack

Grafana

Prometheus

CloudWatch

Kubernetes

Real-Time Analytics Platforms

AI Agent Frameworks

Media Streaming Platforms

Why Join Us?

Build next-generation AI products

Work directly with Generative AI technologies

Exposure to large-scale enterprise systems

Fast-paced product environment

Opportunity to influence architecture and technical decisions

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