Backend Developer Generative Ai Expertise (Remote)

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.

Skills: flask,python,postgresql,keras,pytorch,generative ai models,gcp,agile,java,node.js,express,azure,kubernetes,restful api design,data privacy,docker,databases,tensorflow,aws,django,mongodb,mysql,git