Generative AI Engineer

Role Overview

Join archintX and gain hands-on experience building and integrating Generative AI solutions that improve learning, career development, and user experiences on an education and career platform.

Responsibilities

• Develop and integrate Generative AI solutions using modern AI models and frameworks.
• Work with LLMs, prompt engineering, embeddings, and AI APIs to build intelligent features.
• Design and test prompts to improve the accuracy, relevance, and consistency of AI-generated responses.
• Build AI-powered workflows and applications for real-world user use cases.
• Work with structured and unstructured data to support AI applications.
• Evaluate AI outputs and identify issues such as hallucinations, inconsistencies, and irrelevant responses.
• Collaborate with backend, product, and development teams to integrate AI features.
• Experiment with emerging Generative AI tools, models, and techniques.

Requirements

• Students interested in Generative AI, LLMs, machine learning, Python, prompt engineering, and AI application development.
• Basic knowledge of Python and AI/ML concepts is a plus.
• Curiosity, experimentation, problem-solving skills, and willingness to learn.

Skills

• Python
• LLMs
• Prompt Engineering
• Machine Learning
• Generative AI

What You'll Learn

• Real-world Generative AI application development.
• Large Language Models (LLMs), prompt engineering, and AI APIs.
• Embeddings, vector databases, and Retrieval-Augmented Generation (RAG) concepts.
• AI model evaluation, testing, and optimization.
• Building practical AI-powered applications and workflows.
• Responsible AI practices and improving AI response quality.