Python Backend and AI Intern

About the Role

We're looking for a Python Backend and AI/LLM Engineering Intern to join us full-time for a 3-month paid internship. You will work on powerful backend systems, AI integrations, and scalable APIs for consumer applications. As an intern, you will assist in developing and maintaining backend systems, integrating AI models, and optimizing data structures and algorithms for real-time performance. Responsibilities include collaborating with cross-functional teams to implement backend solutions, assisting in the enhancement of AI-driven services, debugging, and optimizing code. You will also contribute to data preprocessing pipelines and support the deployment of machine learning models into production environments.

Internship Details

• Duration: 3-6 months (Full-time)
• Stipend: ₹5k-10k/month, paid at the end of the internship.
• Post-Internship Offer: Full-time role may be offered, with salary determined by performance during the internship.
• Start Date: Immediate
• Location: Remote

Key Responsibilities

• Design and build backend APIs using FastAPI or Django.
• Integrate LLM features, vector databases, and RAG pipelines.
• Deploy features to production using cloud platforms.
• Work on live applications powering real customer experiences.
• Build, deploy, and manage scalable Python backend systems.
• Develop and document RESTful APIs for AI-powered features.
• Integrate and work with LLMs and AI pipelines (RAG, embeddings, etc.).
• Work with cloud infra (AWS, GCP, Azure) to host and manage services.
• Use vector databases and tools like Pinecone or FAISS for retrieval.
• Troubleshoot, optimize, and iterate on code.
• Participate in sprint planning and fast product cycles using tools like Cursor.

Requirements & Qualifications

• Proficiency in Python and experience with backend development frameworks such as Flask or Django.
• Basic understanding of AI concepts, machine learning algorithms, and experience with libraries like TensorFlow or PyTorch.
• Familiarity with RESTful APIs, data preprocessing techniques, and database management.
• Problem-solving abilities, attention to detail, and a growth mindset.
• Excellent collaboration and communication skills.
• Must have completed college or be in the final year.
• Must be self-motivated, proactive, and able to work independently.
• Pursuing or completing a degree in Computer Science, Data Science, Engineering, or a related technical field.

Preferred Qualifications

• Experience with cloud basics (deployment, hosting, scaling) and cloud services like AWS or Google Cloud.
• Knowledge of version control systems such as Git.
• Hands-on experience with:
• LLMs and AI integrations (e.g. OpenAI, HuggingFace).
• Vector embeddings & semantic search.
• SQL and NoSQL databases (PostgreSQL, MongoDB).
• Strong debugging skills.
• Basics of DevOps and Cloud.
• Experience deploying apps/web apps to production is a plus.

Bonus Points (Not Mandatory, But Appreciated)

• Experience with:
• RAG pipelines, FAISS, Pinecone, ChromaDB.
• Cloud DevOps or CI/CD flows.
• Code-gen tools (Cursor, GitHub Copilot, Windsurf, etc.).
• Frontend knowledge or full-stack work.
• MLOps or model fine-tuning experience.