AI Engineer

Role Overview

This role focuses on developing and deploying advanced AI and automation solutions leveraging deep learning and large language models.

Responsibilities

• Develop, train, and optimize neural network-based solutions using Deep Learning.
• Implement Retrieval-Augmented Generation (RAG) systems to enhance AI-driven retrieval and generation tasks.
• Write clean, efficient, and scalable code primarily in Python for AI and automation projects.
• Deploy and consume Rest API for integration with various platforms.
• Work with Large Language Models (LLMs), including fine-tuning, inference, and deployment.
• Apply Natural Language Processing (NLP) techniques for intent detection and conversational AI.
• Design and optimize AI models using Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN).
• Manage structured data using MySQL or SQL for AI process automation workflows.

Requirements

• Mandatory proficiency in Python.
• Mandatory deep knowledge and implementation experience in Deep Learning.
• Mandatory hands-on expertise in Retrieval-Augmented Generation (RAG).
• Solid understanding of deploying and consuming Rest API.
• Practical experience working with Large Language Models (LLMs) (fine-tuning, inference, deployment).
• Strong grasp of Natural Language Processing (NLP) techniques.
• Working experience with Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN).
• Practical knowledge of MySQL or SQL.