Junior AI Engineer (GenAI/Agentic AI) - Fresher

Overview

About the job:

As a junior AI engineer at TrainingMug, you will be at the forefront of cutting-edge technology, working with our GenAI and Agentic AI systems.

Key Responsibilities:

1. Developing and implementing Generative AI models to enhance our products and services.
2. Engineering innovative prompts to optimize user interactions and engagement.
3. Utilizing deep learning algorithms to improve the performance of our AI systems.
4. Evaluating and refining LLM (Large language model) for enhanced training and efficiency.
5. Collaborating with cross-functional teams to integrate AI solutions into existing platforms.
6. Staying updated on the latest advancements in AI technology and incorporating them into our projects.
7. Contributing to the overall growth and success of the AI department through research, experimentation, and problem-solving.

If you are passionate about artificial intelligence, possess a strong background in AI development, and are eager to make a meaningful impact in the field, we invite you to join our dynamic team at TrainingMug.

Who can apply:

Only those candidates can apply who:

Salary:

₹ 4,00,000 - 5,00,000 /year

Experience:

No experience required

Deadline:

2026-05-23 23:59:59

Other perks:

5 days a week

Skills required:

Deep Learning, Generative AI Development, Prompt Engineering and LLM evaluation

About Company:

Are you passionate about coding, exploring new technologies, and building innovative e-learning products? If so, we at TrainingMug would love to hear from you. We are an EdTech startup focused on creating the next generation of e-learning solutions to enhance users' learning experiences and programming skills. Currently, we are developing an Assessment Platform- an interactive system that offers quizzes and coding exercises with integrated online code editors and evaluates solution efficiency, similar to platforms like HackerRank, LeetCode, and GeeksforGeeks- as well as Code Studio, a hands-on practice platform where learners can work on capstone projects using an in-built IDE like VS Code while seamlessly automating their Git tasks.