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Lead Backend Developer

Job -Backend Developer (Python/Django + AI)

Experience: 5–8 Years

Location: Bangalore

Employment Type: Full-time

About the Role

We are seeking a highly skilled Backend Developer with hands-on experience in Python, Django, and exposure to AI/ML-based applications. The ideal candidate will be responsible for building, optimizing, and integrating backend systems that power intelligent, data-driven applications.

Key Responsibilities

· Design, develop, and maintain scalable backend architecture using Python and Django.

· Build and integrate RESTful APIs and microservices for web and mobile applications.

· Collaborate with frontend, AI, and data teams to deploy machine learning models in production.

· Optimize database queries, caching, and overall system performance.

· Ensure security, reliability, and scalability of backend systems.

· Participate in code reviews, testing, and continuous improvement of backend workflows.

· Work with DevOps tools for deployment and CI/CD automation.



Requirements

Required Skills & Qualifications

· 5–8 years of experience in backend development using Python and Django.

· Experience in API development, integration, and performance optimization.

· Good understanding of AI/ML integration (e.g., model deployment, API consumption).

· Strong experience with databases (PostgreSQL, MySQL, MongoDB).

· Proficiency with Docker, Git, and cloud platforms (AWS/GCP/Azure).

· Familiarity with asynchronous task management (Celery, Redis).

· Solid understanding of REST architecture, authentication, and security principles.

· Developed secure backend systems by implementing SSO for seamless authentication and RBAC for controlled access, reducing manual access management and improving compliance.

Good to Have

· Experience with FastAPI or Flask.

· Exposure to data pipelines or AI model lifecycle management.

· Knowledge/experience in frontend integration concepts.

Experience as a fullstack development

Why Join Us

· Opportunity to work on AI-driven products and scalable architectures.

· Collaborative, growth-oriented environment.

· learning opportunities.




See also

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