At Awarri, our mission is to enable the development and adoption of frontier technology on the African continent, starting in Nigeria, by building lasting technology solutions and creating a brighter future using the power of AI.
We are achieving that mission through the development of Language Models designed to represent and empower African languages and contexts. Join our team of AI innovators as we shape the future of natural language processing (NLP) in Africa, focusing on cultural preservation, linguistic diversity, and cutting-edge generative AI solutions.

YOUR EXPERIENCE

• Backend Development:
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• At least 5 years of experience as a Backend Developer or in a similar role.

• Cloud and Infrastructure:
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• Solid working knowledge of AWS, Azure, or GCP.

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• Proficiency in containerization using Docker.

• Real-Time and AI Expertise:
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• Experience with AI integration, data pipelines, and managing large datasets.

• Proficiency in streaming technologies, including WebRTC and WebSocket.
• Security and Networking:
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• Strong understanding of network security practices and implementing secure systems.

• Familiarity with best practices for secure data handling and infrastructure management.

• Backend Development:
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• Design, develop, and maintain scalable server-side logic and architectures.

• Implement efficient and reusable code for processing large datasets and managing complex AI workflows.
• Build and optimize APIs for data ingestion, retrieval, and integration with AI models.
• Data and AI Integration:
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• Work with data pipelines to handle large-scale text, multimedia, and linguistic datasets for training and serving AI models.

• Develop systems to integrate and deploy AI models seamlessly within backend architectures.
• Real-Time Communication and Streaming:
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• Implement WebRTC and WebSocket protocols for real-time data exchange and communication.

• Support video and audio streaming features to enhance interactive AI applications.
• Cloud and Infrastructure Management:
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• Design and maintain backend systems on cloud infrastructure such as AWS, Azure, or GCP.

• Ensure backend solutions are robust, scalable, and optimized for performance.
• Security and Best Practices:
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• Implement security and data protection measures to safeguard sensitive data.

• Follow industry best practices for data security, ensuring compliance with relevant standards.
• Collaboration:
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• Partner with frontend developers and AI researchers to design cohesive systems and ensure seamless user experiences.

• Participate in architectural discussions to determine optimal solutions for product development.