01Overview
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. .
