We are looking for a passionate and driven AI/ML Intern to join our team. This role is ideal for recent graduates who are eager to work on real-world AI applications, including LLM integrations, modern AI frameworks, and scalable backend systems.
You will gain hands-on experience building intelligent systems with cutting-edge tools and contribute to production-level AI solutions.
Key Responsibilities
- Work on real-world AI/ML problems with a strong focus on problem-solving and analytical thinking.
- Build and integrate LLM-based applications.
- Implement Retrieval-Augmented Generation (RAG) pipelines.
- Work with LangChain, LangGraph, and other modern AI orchestration tools.
- Develop and integrate REST APIs for AI services.
- Collaborate on backend systems using Python frameworks such as FastAPI or Django.
- Understand and contribute to web architecture and system design.
- Work with structured and unstructured data.
- Implement and optimize embeddings and vector search.
- Use and manage vector databases.
- Experiment with transformer-based models.
- Write clean, modular, and reusable code using object-oriented programming principles.
Required Skills And QualificationsCore Requirements
- Strong problem-solving and analytical skills.
- Hands-on practical experience with Python.
- Valuable understanding of object-oriented programming (OOP).
- Familiarity with modern AI tools and frameworks.
- Understanding of REST APIs and web services.
- Basic knowledge of web architecture.
- LangChain and LangGraph
- LLM integration, including OpenAI and open-source models
Familiarity With Vector Databases Such As
- FAISS
- Pinecone
- Chroma
Backend and Database Skills
- Experience with at least one Python backend framework:
- FastAPI
- Django
- Knowledge of SQL databases, such as MySQL and PostgreSQL.
- Knowledge of NoSQL databases, such as MongoDB.
JavaScript Skills — Good to Have
- Basic to intermediate knowledge of JavaScript (ES6+) and/or TypeScript.
- Understanding of asynchronous programming, including Promises and async/await.
- Familiarity with frontend frameworks or libraries such as React.js is preferred but not mandatory.
- Ability to integrate frontend applications with backend REST APIs.
- Basic understanding of:
- Component-based architecture
- State management concepts
- Experience building simple user interfaces for AI applications, such as chat interfaces or dashboards, is a plus.
Education Requirements Applicants should be recent graduates with one of the following qualifications:
- B.Tech or B.E. in Computer Science, Information Technology, or a related field
- Master of Computer Applications (MCA)
- M.Sc. in Information Technology or Computer Science
- Any other relevant Computer Science degree
Good to Have
- Experience deploying ML/AI models.
- Exposure to cloud platforms such as AWS, GCP, or Azure.
- Knowledge of Docker or containerization.
- Personal or academic AI projects.
- A GitHub portfolio showcasing relevant work.
What You’ll Gain
- Hands-on experience with production-level AI systems.
- Exposure to cutting-edge AI tools and LLM ecosystems.
- Mentorship from experienced engineers.
- An opportunity for full-time conversion based on performance.
Note: This is a paid internship.Skills: artificial intelligence,ml,databases,models,computer science,architecture
📌 AI/ML Intern (Pune)
🏢 Setoo
📍 Pune
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