AI Engineer (Generative AI/RAG) - Fresher

Overview

About the job:

As an AI Engineer specializing in Generative AI and RAG, you will play a crucial role in revolutionizing the conversational AI landscape at TrainingMug. Utilizing your expertise in Python, LLM evaluation, and Prompt Engineering, you will drive innovation and create cutting-edge solutions to enhance our products and services. Join our dynamic team and be at the forefront of shaping the future of AI technology.

Key Responsibilities:

1. Develop and implement advanced generative AI models using Python to improve conversational capabilities.
2. Collaborate with cross-functional teams to evaluate and fine-tune LLM models for optimal performance.
3. The engineer prompts for training data to enhance the accuracy and efficiency of AI algorithms.
4. Research and stay up-to-date on the latest advancements in Generative AI and RAG technology.
5. Identify and troubleshoot any issues related to AI models and provide timely solutions.
6. Work closely with product managers to understand customer requirements and tailor AI solutions accordingly.
7. Contribute to the overall AI strategy and roadmap to drive the company's growth and success.

Who can apply:

Only those candidates can apply who:

Salary:

₹ 4,00,000 - 4,50,000 /year

Experience:

No experience required

Deadline:

2026-05-31 23:59:59

Other perks:

5 days a week

Skills required:

Python, Prompt Engineering and LLM evaluation

Other Requirements:

1. 1. Experience in Python, GenAI, and RAG preferred.
2. 2. Knowledge of vector databases and LLM orchestration is a plus.
3. 3. Familiarity with AI agents or NLP preferred.

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.