ng-voice

Freelance AI developer (m/f/d)

Remote Hamburg, Germany
Python Kubernetes API
Description
Committed to building the next generation of 100% software-based mobile networks, combining DevOps with telecommunications expertise, ng-voice is creating innovative mobile infrastructure solutions and making them accessible for operators and enterprises that want to deploy future-proof networks. 
  
We are seeking a skilled developer or development team to create an extendable Rasa-based bot module to integrate with our Control Tower application. This bot will serve as an interactive tool to manage Kubernetes and ng-voice IMS operations and display real-time API responses in the Control Tower using the ShadCN UI framework.What you’ll do  
  

Deliverables

1. **Python Code**: Well-documented Python code for the Rasa bot with custom actions.

2. **Dockerfile**: A Dockerfile to containerize the bot, ensuring easy deployment and scalability.

3. **Extendable API Integration Platform**: A modular design allowing us to add new API integrations in the future with minimal changes.

4. **ShadCN UI Integration**: Results and interactions displayed within the Control Tower interface using the [ShadCN UI framework](https://ui.shadcn.com/).

Requirements and Responsibilities

- **API Calls and Actions**: The bot should handle API requests and actions, such as scaling replicas or restarting Kubernetes resources, and return responses.

- **Backend API Integration**: We will provide all necessary backend APIs, and the developer is responsible for integrating these APIs with the bot to ensure seamless functionality.

- **Control Tower Integration**: Integrate the bot seamlessly into Control Tower, enabling a smooth user experience with real-time updates and response handling.

- **Extendable Architecture**: Deliver an architecture that allows future API integrations and new feature additions with minimal rework.

- **User Interface Compatibility**: Ensure all bot interactions and results display accurately and consistently within Control Tower's UI, utilizing components from ShadCN.

Nice-to-Have Skills: SageMaker and Bedrock

- **SageMaker: Experience creating ML models for real-time IMS log analysis, anomaly detection, and RCA.

- **Bedrock: Familiarity with GenAI agents for automating troubleshooting and corrective actions in IMS environments.

- We offer you the culture of a fast-growing startup with the maturity of an enterprise company 
- We are more interested in your experience and knowledge than formal degrees
- Entrepreneurial culture and flat hierarchies
ng-voice
ng-voice

0 applies

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