Senior Backend Engineer (Python / AI Systems)

The Senior Backend Engineer (Python / AI Systems) will be responsible for designing, building, and scaling backend systems that power AI-driven and data-intensive enterprise applications. This role focuses on developing robust backend services, APIs, and data processing components that support analytics, machine learning, and real-time decision systems.

Roles and Responsibilities

• Design, develop, and maintain scalable backend services and APIs using Python

• Build backend systems that support AI/ML workflows, analytics pipelines, and data-driven applications

• Design and implement data processing services for handling large-scale, time-series, and operational data

• Collaborate with AI/ML, data engineering, and frontend teams to integrate models and analytics into production systems

• Develop secure, high-performance RESTful and/or event-driven APIs for internal and external consumption

• Optimize backend components for performance, reliability, and scalability in production environments

• Implement robust data storage, caching, and retrieval mechanisms

• Ensure system reliability through proper error handling, logging, and monitoring

• Participate in architectural discussions and contribute to backend and platform design decisions

• Write clean, maintainable, and well-documented code following best engineering practices

• Review code, mentor junior engineers, and enforce coding standards

• Support production systems by troubleshooting issues and implementing long-term fixes

Technical Skills & Requirements

• Strong experience in backend development using Python

• Experience building scalable APIs and backend services using modern frameworks

• Solid understanding of data structures, algorithms, and backend system design

• Experience working with relational and NoSQL databases

• Familiarity with handling large datasets, data pipelines, and asynchronous processing

• Experience integrating AI/ML models into backend services

• Understanding of cloud-native architectures and distributed systems

• Experience with version control, CI/CD pipelines, and production deployments

Skills & Competencies

• Strong problem-solving and analytical skills

• Ability to design systems with scalability, reliability, and maintainability in mind

• Excellent collaboration skills across engineering, analytics, and product teams

• Ownership mindset with focus on quality and long-term system health

• Ability to work independently and drive complex backend initiatives

Preferred / Good to Have

• Experience working with AI/ML platforms, analytics engines, or data-heavy systems

• Exposure to real-time data processing or event-driven architectures

• Familiarity with containerization and cloud deployment practices

• Experience in industrial, energy, or enterprise SaaS environments

• Exposure to performance tuning and system optimization