Artificial Intelligence (AI) - Internship

About the internship:Day-to-Day Responsibilities

1. Develop and implement AI-powered features for our products and applications.

2. Build, test, and optimize prompt workflows for Large Language Models (LLMs).

3. Integrate AI APIs and local AI models into existing applications.

4. Research and experiment with the latest AI tools, frameworks, and technologies.

5. Assist in developing Retrieval-Augmented Generation (RAG) pipelines and AI agents.

6. Write clean, efficient, and well-documented Python or JavaScript code.

7. Debug, test, and improve the performance and accuracy of AI features.

8. Collaborate with software engineers to deliver production-ready solutions.

9. Participate in code reviews, technical discussions, and sprint planning.

10. Document technical implementations, experiments, and best practices.

11. Stay updated with advancements in Generative AI, LLMs, and machine learning.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 monthshave relevant skills and interestsStipend:INR₹ 10,000 /monthDeadline:[hidden]:59:59Other perks:Certificate, Letter of recommendation, Flexible work hours, Informal dress code, 5 days a week, Free snacks & beveragesSkills required:Python, Data Structures, Machine Learning, Data Science, Deep Learning, Artificial intelligence, Data Analysis, Prompt Engineering and LLM evaluationOther Requirements:1. Proficiency in Python and basic knowledge of JavaScript or TypeScript.2. Familiarity with Git/GitHub, REST APIs, and AI frameworks (e.g., LangChain, Hugging Face, Ollama) is a plus.3. Knowledge of React, Node.js, or FastAPI is preferred.4. Strong problem-solving and analytical skills.5. Self-motivated, eager to learn, and able to work independently.6. Personal projects, GitHub, or open-source contributions will be an advantage.About Company:We take pride in the fact that we have been serving startups to enterprises for over 9 years now. We work closely with our clients to understand their business problems and apply the best practices to implement, support, and manage their technology.

Responsibilities

Day-to-Day Responsibilities

1. Develop and implement AI-powered features for our products and applications.

2. Build, test, and optimize prompt workflows for Large Language Models (LLMs).

3. Integrate AI APIs and local AI models into existing applications.

4. Research and experiment with the latest AI tools, frameworks, and technologies.

5. Assist in developing Retrieval-Augmented Generation (RAG) pipelines and AI agents.

6. Write clean, efficient, and well-documented Python or JavaScript code.

7. Debug, test, and improve the performance and accuracy of AI features.

8. Collaborate with software engineers to deliver production-ready solutions.

9. Participate in code reviews, technical discussions, and sprint planning.

10. Document technical implementations, experiments, and best practices.

11. Stay updated with advancements in Generative AI, LLMs, and machine learning.