Python Backend Developer

Appiness interactive

Python Backend Developer

Appiness Interactive

Company

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Python Backend Developer

at Appiness interactive

Agency job

via Appiness Interactive

3.5 - 6 yrs

₹4L - ₹10L / yr

Mumbai, Gurugram

Skills

Python

RestAPI

Django

Flask

FastAPI

MongoDB

Docker

Git

Redis

Job Description – Backend Python Developer(Mid-Level)

📍 Location: Mumbai/Gurgaon | Full-time

Backend Python Developer

Role Overview

We are seeking a skilled Backend Python Developer to design, develop, and maintain backend services, APIs, and integrations that power our AI-driven automation solutions.

You will collaborate closely with senior engineers, AI/ML teams, and frontend developers to build scalable, high-performance systems. This role is ideal for professionals with solid backend experience who are eager to deepen their expertise in Python, cloud technologies, and AI-based applications.

Key Responsibilities

Develop and maintain backend APIs, services, and system integrations using Python
Collaborate on system design and architecture discussions with senior engineers
Write clean, scalable, and well-documented code following best practices
Ensure performance, scalability, and reliability in cloud environments
Design and manage SQL/NoSQL databases for structured and unstructured data
Support integration of AI/ML models into production workflows
Participate in code reviews, unit testing, and debugging
Contribute to CI/CD pipelines, containerization, and DevOps processes

Required Skills & Qualifications

3–5 years of experience in backend development
Strong proficiency in Python
Hands-on experience with frameworks such as FastAPI, Flask, or Django
Experience building and consuming REST APIs (GraphQL is a plus)
Strong database knowledge: PostgreSQL, MySQL, MongoDB, or Redis
Familiarity with cloud platforms (AWS, GCP, or Azure)
Hands-on experience with Docker and Kubernetes
Strong understanding of OOP, data structures, algorithms, and design patterns

Preferred Skills

Exposure to AI/ML workflows or a strong interest in learning
Experience with message brokers such as Kafka, RabbitMQ, or Celery
Knowledge of asynchronous programming (asyncio, Celery, etc.)
Experience with unit testing frameworks (PyTest, unittest)
Understanding of API security and authentication (OAuth2, JWT)

What We Offer

Competitive compensation with growth opportunities
Opportunity to work on AI-first automation products used globally
Mentorship from experienced senior engineers
Flexible work environment
Continuous learning support in Python, Cloud, and AI/Automation technologies

Job Description – Backend Python Developer(Mid-Level)

📍 Location: Mumbai/Gurgaon | Full-time

Backend Python Developer

Role Overview

We are seeking a skilled Backend Python Developer to design, develop, and maintain backend services, APIs, and integrations that power our AI-driven automation solutions.

Key Responsibilities

Develop and maintain backend APIs, services, and system integrations using Python
Collaborate on system design and architecture discussions with senior engineers
Write clean, scalable, and well-documented code following best practices
Ensure performance, scalability, and reliability in cloud environments
Design and manage SQL/NoSQL databases for structured and unstructured data
Support integration of AI/ML models into production workflows
Participate in code reviews, unit testing, and debugging
Contribute to CI/CD pipelines, containerization, and DevOps processes

Required Skills & Qualifications

3–5 years of experience in backend development
Strong proficiency in Python
Hands-on experience with frameworks such as FastAPI, Flask, or Django
Experience building and consuming REST APIs (GraphQL is a plus)
Strong database knowledge: PostgreSQL, MySQL, MongoDB, or Redis
Familiarity with cloud platforms (AWS, GCP, or Azure)
Hands-on experience with Docker and Kubernetes
Strong understanding of OOP, data structures, algorithms, and design patterns

Preferred Skills

Exposure to AI/ML workflows or a strong interest in learning
Experience with message brokers such as Kafka, RabbitMQ, or Celery
Knowledge of asynchronous programming (asyncio, Celery, etc.)
Experience with unit testing frameworks (PyTest, unittest)
Understanding of API security and authentication (OAuth2, JWT)

What We Offer

Competitive compensation with growth opportunities
Opportunity to work on AI-first automation products used globally
Mentorship from experienced senior engineers
Flexible work environment
Continuous learning support in Python, Cloud, and AI/Automation technologies

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Shubham Vishwakarma

Full Stack Developer - Averlon

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Real-time streaming architecture — The SSE pipeline that carries every agent action from the Python backend through NestJS to the browser: event framing,

reconnection, health monitoring, interrupt handling for plan approvals and clarifying questions.

Agent execution environments — Sandbox lifecycle on Modal: container spin-up, file sync, terminal I/O, command execution, and live preview with per-asset esbuild

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the agent knows what it knows.

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caching. Audit-at-scale infrastructure.

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---

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- Both worlds on your resume: engineering rigor inside a large company and 0-to-1 ownership at an early-stage startup.

- Production agentic systems experience. You've built and operated LLM agent systems in production with LangGraph, LangChain, or equivalent — agent graphs, tool

use, state management, prompt engineering, evals. This means well beyond calling a chat endpoint.

- Strong Python. You design and ship production Python daily. The agent codebase is yours to own.

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- AI-native development workflow. You drive Claude Code, Codex, or similar agentic tools as everyday instruments — not occasionally. You have opinions about

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- Real-time backend systems. You've built SSE, WebSocket, or streaming API infrastructure in production — not just consumed it.

- Strong TypeScript. The API layer and most product features are in TypeScript. You're productive in it.

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- Depth in PostgreSQL, Redis, and Supabase

- LLM observability and evals tooling (LangSmith or similar)

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- Exposure to marketing, growth, or publisher-facing products

---

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You own the architecture. Not a feature factory. Not someone else's design doc. The technical execution of an AI product is yours to lead.

The agent is the product. You're not adding AI to an existing system. You're building and operating the system that is the AI. Every architectural decision

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Hard problems, always. The system spans cloud sandboxes, streaming infrastructure, multi-step agent graphs, and a full-stack web product — for non-technical

users who can't course-correct a broken output. The bar is high.

Small team, real leverage. Your code ships to users the same week. No layers of approval.

---

HOW TO APPLY

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● Experience in building RESTful APIs, web services, and microservices architectures.

● Experience in using database technologies such as MySQL, PostgreSQL, or MongoDB.

● Familiarity with cloud-based platforms such as AWS, Azure, or Google Cloud Platform.

● Knowledge of software development best practices such as Agile methodologies, Test-Driven Development (TDD), and Continuous Integration/Continuous Deployment (CI/CD).

● Excellent problem-solving and debugging skills, and the ability to work independently as well as part of a team.

● Strong communication and collaboration skills, and the ability to work effectively with other stakeholders in a fast-paced environment