About the internship:
Selected intern's day-to-day responsibilities include:
- 1. Develop and deploy LLM-powered applications and services.
- 2. Build and integrate AI/ML models as REST API services for frontend and client applications.
- 3. Use frameworks like Flask, FastAPI, or Django to create scalable and efficient backend systems.
- 4. Work with well-known generative AI models (e.g., GPT, LLaMA, Qwen, etc.) for text, code, or content generation.
- 5. Collaborate with frontend developers and product teams to design and deliver AI-driven features.
- 6. Monitor and optimize performance, scalability, and cost of AI services.
- 7. Write clean, testable, and production-ready code with proper documentation.
Who can apply:
Only those candidates can apply who:
- are available for full time (in-office) internship
- can start the internship between 4th Nov'26 and 9th Dec'26
- are available for duration of 6 months
- are from Mumbai only
- have relevant skills and interests
Stipend:
INR₹ 8,000 - 12,000 /month
Deadline:
2026-12-04 23:59:59
Other perks:
Certificate
Skills required:
Python and Artificial intelligence
Other Requirements:
- 1. Strong proficiency in Python.
- 2. Good understanding of LLMs (architecture, fine-tuning, prompting, embeddings).
- 3. Experience with Flask, Django, or FastAPI for API development.
- 4. Knowledge of how to consume and expose AI models as APIs.
- 5. Familiarity with generative AI models such as GPT, LLaMA, Qwen, etc.
- 6. Understanding of databases and persistence for storing AI inputs/outputs.
- 7. Proficiency with Git and collaborative development workflows.
About Company:
At Tax-O-Smart, we develop highly innovative and creative products and services that provide total tax and accounting solutions to all kinds of business structures.
Additional information:
- Position Overview
We are looking for a talented AI/ML Engineer with a strong background in Large Language Models (LLMs) and backend development to help us integrate Generative AI into real-world applications. The ideal candidate should have hands-on experience deploying AI models as APIs, building scalable services using Python frameworks, and working with popular generative AI models.