Senior Python Engineer driving excellence in building scalable backend systems for AI-driven applications. Focusing on Python-based solutions that meet enterprise standards for performance and modularity.
Responsibilities
Design and implement modular, scalable, and maintainable backend architectures for Python-based applications.
Define standards for multi-tiered architecture, dependency injection, module management, and configuration strategies across environments.
Lead efforts to improve API design, data modeling, and code organization aligned with long-term product scalability.
Act as technical coach to the engineering team, transferring best practices in backend engineering, system design, and clean code principles.
Involve in Review of new or existing implementations and introduce structured improvements for scalability, maintainability, testability, and reusability.
Design system architecture to support integration of backend services into CI/CD pipelines.
Collaborate with DevOps and QA teams to ensure solutions are test-driven, monitoring ready, and accessible for automated testing workflows.
Introduce performance monitoring, logging, and error tracking mechanisms, integrating with modern observability tools.
Work closely with AI engineers, data engineers, and cloud specialists to integrate backend APIs with AI/LLM pipelines, RAG systems, and vector stores.
Learn and progressively apply Generative AI concepts (prompt management, context handling, observability) to ensure backend readiness for intelligent features.
Contribute to architectural discussions and technical documentation supporting AI CoE frameworks and client AI projects.
Requirements
7+ years of experience in software development with Python, including backend systems, APIs, or enterprise applications.
Expertise in FastAPI, Flask, or equivalent frameworks for building production-grade REST or GraphQL APIs.
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