Software Developer ( Python )

Quantiphi Analytics Solutions

Mumbai

On-site

INR 900,000 - 1,300,000

Full time

14 days+

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Job summary

Quantiphi Analytics Solutions in Mumbai is seeking a Senior Software Developer to build scalable AI-powered backend systems using Python, FastAPI, and cloud-native deployments.

You will develop AI agents, RAG pipelines, and data processing with Pandas and SQL, while integrating with databases, Kafka, RabbitMQ, and enterprise apps on Kubernetes.

This role demands performance optimization, API design excellence, and ownership of production-quality solutions.

Qualifications

  • Strong Python programming and OOP concepts.
  • FastAPI or similar API frameworks.
  • Pandas, SQL, and data processing.
  • Async programming (AsyncIO), multithreading, and multiprocessing.
  • REST APIs and API integration.
  • RAG concepts and LLM integration.
  • Agentic AI concepts, tool calling, and workflow orchestration.

Responsibilities

  • Develop scalable backend services using Python and FastAPI.
  • Build and maintain REST APIs and microservices.
  • Develop AI agents, RAG pipelines, and workflow automation solutions.
  • Process and analyze large datasets using Pandas and SQL.
  • Integrate with databases, messaging systems, and external enterprise applications.
  • Optimize application performance, scalability, and reliability.
  • Deploy and support applications on Kubernetes-based environments.

Skills

Python
FastAPI
Pandas
SQL
AsyncIO
Multithreading
Multiprocessing
REST APIs
API Integration
RAG
LLM Integration
Agentic AI
Tool Calling
Workflow Orchestration
Kafka
RabbitMQ
Docker
Kubernetes
Git

Tools

Kafka
RabbitMQ
Docker
Kubernetes
Git
Redis
Vector Databases
ClickHouse
Azure/OpenAI/Gemini

Job description

Role: Senior Software Developer

Experience Level: 4 to 8 Years

Work location: Mumbai

Role Summary:

We are looking for a Python Developer to build scalable AI-powered applications for COGNIX, an enterprise Agentic AI platform. The role involves backend development, large-scale data processing, AI agent development, RAG implementation, API integrations, and cloud-native deployment.

Role & responsibilities
  • Develop scalable backend services using Python and FastAPI.
  • Build and maintain REST APIs and microservices.
  • Develop AI agents, RAG pipelines, and workflow automation solutions.
  • Process and analyze large datasets using Pandas and SQL.
  • Integrate with databases, messaging systems, and external enterprise applications.
  • Optimize application performance, scalability, and reliability.
  • Deploy and support applications on Kubernetes-based environments.
Preferred candidate profile
  • Strong Python programming and OOP concepts.
  • FastAPI or similar API frameworks.
  • Pandas, SQL, and data processing.
  • Async programming (AsyncIO), multithreading, and multiprocessing.
  • REST APIs and API integration.
  • RAG concepts and LLM integration.
  • Agentic AI concepts, tool calling, and workflow orchestration.
  • Kafka, RabbitMQ, or similar messaging platforms.
  • Docker, Kubernetes, Git.
Preferred Skills
  • Google ADK, LangGraph, CrewAI, or similar agent frameworks.
  • Redis, Vector Databases, ClickHouse.
  • Azure/OpenAI/Gemini integrations.
  • MCP (Model Context Protocol).
  • BFSI domain experience.
What We Look For
  • Strong problem-solving and analytical skills.
  • Ability to work on enterprise-scale AI systems.
  • Hands-on mindset with ownership and accountability.
  • Experience in designing scalable, production-grade solutions.
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