Artificial Intelligence (AI) - Internship

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) internshipcan start the internship between 18th Sep'26 and 23rd Oct'26are available for duration of 6 monthsare from Mumbai onlyhave relevant skills and interestsStipend:INR₹ 8,000 - 12,000 /monthDeadline:[hidden]:59:59Other perks:CertificateSkills required:Python and Artificial intelligenceOther 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.

Responsibilities

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.