Python AI Developer

9 hours ago

Navi Mumbai, Maharashtra, India AppZime Technologies Full time ₹ 12,00,000 - ₹ 36,00,000 per year

We are looking for a Senior Backend Developer to lead the design and

implementation of our core agentic framework. This role is perfect for a highly

skilled developer who is passionate about high-performance backend solutions,

distributed systems, and API development.

As part of our team, youll work on cutting-edge AI architectures, developing

advanced tools, agents, and scalable backend services that power next-

generation AI-driven solutions.

Key Responsibilities:

 Architect & Develop the core agentic framework with tools and agents.

 Build backend services for drag-and-drop modules and workflow

scheduling.

 Provide boilerplates and development guidance for tools and agent

creation.

 Implement caching strategies and optimize performance for complex

workflows.

 Conduct code reviews, enforce best practices, and mentor junior developers.

 Ensure scalability, security, and reliability of backend systems

using Kubernetes and cloud-native architectures.

Required Skills and Qualifications

 4-5 years of backend development experience, preferably in AI-based

systems.

 Strong expertise in Python and FAST API for high-performance backend

services.

 Experience with OpenAPI standards for API documentation.

 Proficiency in Kubernetes & GitOps for managing infrastructure as code.

 Deep understanding of PostgreSQL database management and Redis

caching techniques.

 Hands-on experience with message queue systems like RabbitMQ, Celery.

 Familiarity with ELK stack for logging, monitoring, and debugging.

 Strong knowledge of workflow automation, microservices, and distributed

computing.

 Ability to work independently while collaborating with cross-functional teams

in a remote environment.

Preferred Skills (Good to Have):

 Experience in developing agentic AI architectures.

 Knowledge of serverless computing and event-driven architectures.

 Exposure to cloud platforms (AWS, Azure, or GCP) for scalable deployment.

 Familiarity with real-time data processing and AI model integration.

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