About the Role

Biz2X is seeking a talented and hands-on Python Developer to join our dynamic team. This role involves close collaboration with our existing backend systems and a significant contribution to our next-generation AI-driven innovations. The ideal candidate will possess a deep understanding of software design principles and a creative mindset to build scalable, maintainable, and intelligent solutions. You will be an integral part of a cross-functional team, bridging core backend engineering with AI system integration, playing a key role in shaping the architecture and development of intelligent modules that will enhance our product capabilities and performance.

Key Responsibilities

• Collaborate with backend and AI teams to extend, integrate, and optimize existing Java-based backend systems.
• Design and implement AI-enabling microservices and automation pipelines using Python and modern frameworks.
• Apply SOLID principles, design patterns, and clean architecture in all code implementations.
• Develop and maintain RESTful APIs, data models, and integration layers between traditional backend and AI components.
• Contribute to AI feature experimentation, including model integration, data flow orchestration, and inference optimization.
• Participate in code reviews, technical discussions, and architectural planning to ensure high code quality and system scalability.
• Write modular, testable, and maintainable code with comprehensive documentation.
• Collaborate with DevOps and ML engineers for deployment, monitoring, and performance optimization.

Required Skills & Experience

• Strong programming experience in Python (FastAPI / Flask/ Django).
• Excellent understanding of Object-Oriented Programming (OOPs), design principles (SOLID, DRY, KISS, etc.),and software design patterns.
• Experience with microservices, REST APIs, and event-driven architecture (Kafka, RabbitMQ, etc.).
• Good understanding of data handling, JSON/XML, and integration of AI/ML services.
• Familiarity with AI/ML lifecycle, including model inference, data pipelines, or vector-based search (nice to have).
• Knowledge of cloud environments (AWS/ GCP / Azure) and containerization (Docker/ Kubernetes).
• Strong problem-solving, analytical, and debugging skills.
• Ability to work collaboratively in a multi-language, cross-functional AI innovative environment.