LLM Engineer

Role Overview

Join archintX and gain hands-on experience building, testing, and integrating Large Language Model solutions to power intelligent features across an education and career platform.

Responsibilities

• Develop and integrate Large Language Model (LLM) solutions using modern AI models and APIs.
• Design and optimize prompts to improve response accuracy, relevance, and consistency.
• Build AI-powered features using LLMs, embeddings, RAG, and vector databases.
• Prepare, clean, and structure datasets for LLM applications and evaluation.
• Evaluate model outputs and identify hallucinations, inconsistencies, and quality issues.
• Experiment with different models, parameters, and techniques to improve AI performance.
• Integrate LLM services with backend applications and APIs.
• Collaborate with AI, backend, product, and QA teams to develop reliable AI-powered features.

Requirements

• Students interested in LLMs, Generative AI, Python, machine learning, prompt engineering, and AI application development.
• Basic knowledge of Python and AI/ML concepts is a plus.
• Curiosity, experimentation, analytical thinking, and willingness to learn are most important.

Skills

• Python
• LLM
• RAG
• Vector Databases
• Generative AI