AI Engineer

AI Engineer Job Description

Introduction:

About TagHive Inc.

TagHive Inc., incorporated on April 25, 2017, is a Samsung funded education technology company with headquarters in South Korea and an office in India. The company’s offerings include clicker-based classroom response systems and AI-powered self-assessment solutions. The company offers its solutions under the “Class Saathi” brand in India and under the “Class Key” brand

elsewhere.

TagHive has 24 registered patents and trademarks and 11 others are pending. The company’s solutions are used in over 10,000+ class rooms and over 500,000 students have downloaded the Class Saathi self-assessment solution.

www.tag-hive.com

About Class Saathi

Class Saathi is a clicker based smart classroom solution that makes formative assessment easy and fast. Class Saathi is a combination of a clicker device for each student and a mobile application for teachers, parents and the administrators. After teaching a concept in a class, the

teacher can ask a few questions using Class Saathi to gauge the understanding level of each and every student. The administrators and the parents can also see the learning data on their respective apps. Class Saathi has over 10,00,000 questions on Maths, Science, Social Studies, and English for students of Class 1 to Class 10, for CBSE, ICSE and 20+ state board curriculum. Class Saathi is aligned with New Education Policy’s objectives of micro-learning and continuous assessments. “Data First” approach ensures greater accountability at all levels. Class Saathi is affordable and does not require schools to upgrade their infrastructure ("no internet" and "no electricity" are no more the limiting factors in making classrooms smart)

Summary:

As an AI Engineer, you will design, develop, and deploy AI-powered solutions across our product

ecosystem. You will work closely with Product, Engineering, and Academic teams to build

scalable machine learning and Generative AI applications that solve real-world challenges in

education.

Key Responsibilities

• Design, develop, and deploy AI/ML models for educational products and platforms.
• Build and optimize Generative AI applications using Large Language Models (LLMs).
• Develop AI-powered features such as:-Personalized learning recommendations

-AI tutors and learning assistants

-Automated content generation

-Assessment and evaluation tools

-Intelligent search and knowledge retrieval systems

• Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases.
• Fine-tune and evaluate AI models for educational use cases.
• Integrate AI services and models into web and mobile applications.
• Develop and maintain data pipelines for training and inference.
• Monitor model performance, accuracy, and reliability in production environments.
• Collaborate with cross-functional teams to translate business requirements into AI solutions.
• Stay updated with advancements in AI, Machine Learning, NLP, and Generative AI technologies.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 2–5 years of hands-on experience in AI/ML development.
• Strong proficiency in Python.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience working with Large Language Models (OpenAI, Claude, Gemini, Llama, Mistral, etc.).
• Knowledge of Prompt Engineering and LLM optimization techniques.
• Experience with RAG architectures and vector databases such as Pinecone, Weaviate, Chroma, or FAISS.
• Understanding of NLP concepts and transformer-based models.
• Experience building REST APIs and integrating AI services.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Strong problem-solving and analytical skills.