Backend Engineer
1 month ago
Job Description :
We are looking for a highly skilled Backend Engineer with experience in Generative AI to join our dynamic team.
The ideal candidate will have a strong background in backend development, coupled with hands-on experience in implementing and integrating Generative AI models into scalable backend systems.
This role is crucial in building and optimizing the infrastructure that powers our AI-driven applications.
Key Responsibilities :
Backend Development: Design, develop, and maintain server-side logic, ensuring high performance and responsiveness of applications.
Generative AI Integration: Collaborate with the AI research team to integrate cutting-edge Generative AI models into the backend infrastructure.
API Development: Build robust APIs to support the frontend team, third-party services, and mobile applications.
Data Management: Develop and manage databases, ensuring efficient data storage, retrieval, and security for AI models and applications.
Scalability: Optimize backend architecture for scalability to handle large volumes of data and requests, especially in AI-related workloads.
Security: Implement best practices in securing backend systems and ensuring data privacy, especially in AI model handling and deployment.
Collaboration: Work closely with frontend developers, AI researchers, and product managers to deliver high-quality AI-driven products.
Performance Monitoring: Continuously monitor the performance of backend services, identify bottlenecks, and implement optimizations.
Required Qualifications :
- Educational Background: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Experience: 3+ years of experience in backend development with a focus on AI-driven applications.
Technical Skills :
- Proficiency in backend languages such as Python, Node.js, or Java.
- Experience with frameworks like Django, Flask, or Express.
- Strong understanding of RESTful API design and development.
- Experience with databases like PostgreSQL, MongoDB, or MySQL.
- Hands-on experience with cloud services (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
- Knowledge of Generative AI models (e.g, GPT, DALL-E) and experience in deploying them in production environments.
AI Knowledge: Understanding of machine learning principles, neural networks, and AI model optimization techniques.
Problem-Solving: Strong analytical and problem-solving skills, with the ability to debug complex issues and implement solutions.
Communication :
- Excellent communication skills to work effectively with cross-functional teams.
Preferred Qualifications :
- Experience with AI/ML frameworks such as TensorFlow, PyTorch, or Keras.
- Familiarity with version control systems (e.g, Git) and CI/CD pipelines.
- Previous experience working in agile development environments.
- Understanding of data privacy regulations and AI ethics.
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