AI Engineer

About the role

An AI Engineer role focused on designing, developing, and implementing AI-powered solutions using Python, Large Language Models, Machine Learning, Computer Vision, and Natural Language Processing technologies.

Key responsibilities

• Design, develop, and implement AI-powered solutions using Python, LLM, Machine Learning, Computer Vision, and NLP technologies

• Build, train, evaluate, and optimize Machine Learning and Deep Learning models based on business requirements

• Develop and integrate LLM-based applications, including AI chatbots, intelligent assistants, and RAG-based systems

• Implement Computer Vision solutions for image recognition, object detection, OCR, and visual data analysis

• Develop NLP solutions for text processing, classification, information extraction, and semantic understanding

• Build scalable APIs and integrate AI models into existing enterprise applications

• Perform model evaluation, performance optimization, debugging, and continuous improvement

• Collaborate with software engineers, data engineers, and business stakeholders to deliver production-ready AI solutions

• Maintain technical documentation and follow best practices in AI development and deployment

About you

• Bachelor's degree (S1) in Computer Science, Information Technology, Artificial Intelligence, Data Science, or related fields

• Minimum 3 years of professional experience as an AI Engineer, Machine Learning Engineer, or related role

• Strong proficiency in Python programming, including experience developing, optimizing, and deploying AI/ML solutions

• Strong knowledge and hands-on experience in Large Language Models (LLM), Machine Learning, Computer Vision, and Natural Language Processing (NLP)

• Experience working with LLM frameworks and technologies such as LangChain, Hugging Face Transformers, OpenAI API, or similar tools

• Proficient in Machine Learning and Deep Learning frameworks, including TensorFlow, PyTorch, and Scikit-learn

• Hands-on experience in Computer Vision, including image processing, object detection, image classification, and OCR using OpenCV, YOLO, or similar frameworks

• Strong understanding of NLP techniques, including text classification, sentiment analysis, named entity recognition (NER), embeddings, and semantic search

• Experience developing and integrating AI models through REST APIs using FastAPI or Flask

• Familiarity with SQL/NoSQL databases, Git, Docker, and cloud platforms (AWS, Azure, or GCP)