Senior Backend Engineer Python

Role Overview: As a Senior Backend Engineer specializing in Python for AI-Powered Systems, you will play a crucial role in leading the development of backend architecture for AI-driven applications, specifically chatbots and voice bots. Your responsibilities will include designing scalable Python-based backend services, mentoring team members, and ensuring the robustness, security, and scalability of the services you build. Key Responsibilities: - Architect and implement scalable Python-based backend services for AI-driven applications such as chatbots and voice bots. - Design modular and maintainable codebases, establish repository structures, and devise database schema designs. - Lead and mentor developers throughout all phases of development, from conceptualization to deployment. - Develop APIs using FastAPI, ensuring robust validation with Pydantic and utilizing asynchronous capabilities. - Implement ORM and migrations using SQLAlchemy and Alembic for database management. - Integrate task queues efficiently using Celery for background processing. - Build and optimize database systems, including MySQL, PostgreSQL, and related tools. - Integrate LLMs (e.g., OpenAI, HuggingFace Transformers) into backend systems to enhance conversational AI capabilities. - Utilize AI/NLP libraries such as NLTK, scikit-learn, or equivalent tools in production-level applications. - Implement containerization with Docker and maintain version control using Git. - Contribute to and uphold CI/CD pipelines for seamless and reliable deployments. - Conduct comprehensive code reviews to ensure the delivery of high-quality, maintainable, and well-documented code. Qualifications Required: - You should possess 5+ years of experience in Python backend development, with a preference for AI product environments. - Demonstrated expertise in designing backend architectures from scratch for real-time or intelligent systems. - Strong familiarity with FastAPI, Pydantic, SQLAlchemy, Alembic, Celery, Purest, and LLM-specific libraries (e.g., OpenAI SDK, HuggingFace). - Practical experience with PostgreSQL, MySQL, and adept knowledge of database design best practices. - Basic proficiency in containerization using Docker and a foundational understanding of CI/CD tools and Git workflows. - Experience in deploying and integrating LLM-powered applications like chatbots or voice bots into production environments. - A solid grasp of software engineering best practices, including conducting code reviews and mentoring team members. Company Details: (if provided in the JD, else omit this section) N/A,