Generative AI & Python Backend Developer

As a Generative AI Engineer at our company, you will play a crucial role in the development and deployment of highly scalable Python APIs in a cloud-native environment. You will collaborate closely with the AI/ML team on Generative AI projects, manage applications deployed on Kubernetes clusters, and ensure high availability and performance of our services. Your expertise in Python, Kubernetes, Docker, GenAI/LLMs, TypeScript, and API debugging will be instrumental in driving the success of our projects. - Design, develop, and deploy highly scalable Python APIs in a cloud-native environment. - Collaborate with the AI/ML team on Generative AI projects, contributing to development and fine-tuning efforts. - Manage, monitor, and troubleshoot applications deployed on Kubernetes clusters. - Develop and maintain Docker containers for application packaging and deployment. - Write, test, and maintain TypeScript-based extensions for application features. - Debug production issues related to API endpoints, ensuring minimal downtime and quick resolution. - Ensure high availability and performance of applications across environments. - Integrate and optimize LLM-based components into existing services where required. **Qualifications Required:** - Strong proficiency in Python for API development using frameworks like Flask, FastAPI, or Django. - Hands-on experience with Kubernetes for deploying, scaling, and managing applications. - Strong command of Docker for containerization and orchestration. - Practical exposure to 1-2 GenAI projects (OpenAI, HuggingFace Transformers, LangChain, etc.). - Experience developing extensions or applications using TypeScript. - Ability to diagnose and fix endpoint issues quickly in production environments. - Proficiency with Git or similar tools for code collaboration and CI/CD. The role follows a fixed shift from 2:00 PM - 11:00 PM IST to enable collaboration with global teams and support live deployments. (Note: The company's additional details were not provided in the job description.),