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About the Role - We are looking for a highly motivated AI Backend Developer Intern with strong logical thinking and hands-on experience working with modern AI tools and backend technologies. - This role is ideal for someone who enjoys solving real-world problems, building intelligent systems, and working on end-to-end AI-powered applications. Key Responsibilities - Design and develop backend components for AI-powered applications and agents. - Work with APIs, backend services, and data pipelines to support AI workflows. - Build and integrate AI models using modern frameworks and tools. - Handle structured data and database operations efficiently. - Think through edge cases and ensure reliability of AI-driven outputs. - Contribute to building end-to-end working AI solutions such as chat-with-data tools, automation workflows, or intelligent agents. Required Skills & Qualifications - Logical Thinking (Important) Strong structured problem-solving ability. - Ability to analyze edge cases and real-world scenarios (e.g., handling incorrect AI outputs). - Transparent reasoning and analytical approach to system design. - Backend Development Strong proficiency in Python (mandatory). - Basic to good understanding of Node.js (JavaScript). - Understanding of APIs and backend architecture fundamentals. - AI Stack Experience Experience with vector databases such as ChromaDB or Qdrant. - Hands-on experience with LangChain or LangGraph. - Experience integrating OpenAI or Gemini APIs into applications. - Database Knowledge Good understanding of databases such as MongoDB or PostgreSQL. - MongoDB knowledge preferred. - Comfortable working with queries and structured data. - Projects (Important) Experience building AI agents or AI-powered tools (e.g., chat with data, automation tools, etc.). - End-to-end working projects are a strong advantage. What Were Looking For - Curious and hands-on learners who enjoy building real systems. - Strong ownership mindset and problem-solving approach. - Passion for AI, backend systems, and practical implementation. .