Agentic AI Developer | Python & AWS | Hybrid

Ccube; Alpharetta (GA); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Ccube in Alpharetta, GA is seeking an experienced Agentic AI Developer to design, develop, and scale intelligent Python-based applications and APIs on AWS. This hybrid role combines on-site collaboration with remote work flexibility and requires 6–8 years of hands-on engineering experience.

You will build cloud-native microservices, implement data pipelines, and integrate AI agents with LLMs. The team collaborates with product managers and data scientists to deliver high-performance, secure

Qualifications

• Strong expertise in Python, Django and GraphQL.
• Hands-on experience with AWS and cloud-native deployment.
• Deep understanding of microservices, SOA and event-driven architectures.
• Experience with PostgreSQL, GraphQL APIs and data integration.
• Exposure to AI agents, LLM integrations or intelligent automation is a plus.
• Familiarity with React and Apollo GraphQL is beneficial.
• Experience with Domain-Driven Design (DDD), Agile, unit/integration testing and CI/CD.
• Ability to build secure, resilient, and high-performing applications.

Responsibilities

• Design and develop scalable Python-based applications and APIs.
• Build and maintain cloud-native solutions on AWS.
• Contribute to microservices, event-driven systems, and data pipelines.
• Collaborate with product managers, data scientists, and cross-functional engineering teams.
• Optimize application performance, reliability, and scalability.
• Follow coding best practices, participate in code reviews, and deliver high-quality solutions.

Skills

Python

Django

GraphQL

AWS

Microservices

PostgreSQL

Apollo GraphQL

React

DDD

Agile

CI/CD

Testing

Job description

Ccube in Alpharetta, GA is seeking an experienced Agentic AI Developer to design, develop, and scale intelligent Python-based applications and APIs on AWS. This hybrid role combines on-site collaboration with remote work flexibility and requires 6–8 years of hands-on engineering experience.

You will build cloud-native microservices, implement data pipelines, and integrate AI agents with LLMs. The team collaborates with product managers and data scientists to deliver high-performance, secure