We are seeking a motivated AI Engineer to join our dynamic team. This role is ideal for individuals with 1–2 years of practical experience in artificial intelligence and machine learning. As a Junior AI Engineer, you will collaborate closely with senior team members to design, develop, and implement AI solutions that solve complex business challenges. This is a hands\-on role that requires a solid understanding of machine learning algorithms, data analysis, and programming skills. **Responsibilities:** * Assist in developing AI models and algorithms based on business requirements. * Perform data analysis and prepare data sets for model training and validation. * Implement machine learning pipelines. * Collaborate with cross\-functional teams to integrate AI capabilities into existing systems. * Conduct experiments to optimize model performance and scalability. * Stay updated with the latest AI research and technologies. **Requirements** * Bachelor’s degree in Computer Science, Engineering, or a related field. * 1–2 years of experience in AI, machine learning, or data science roles. * Proficiency in Python, TensorFlow, PyTorch, or similar tools and frameworks. * Strong analytical and problem\-solving skills. * Good understanding of data structures, algorithms, and statistical techniques. * Familiarity with prompt engineering techniques and using LLM APIs (OpenAI, Claude, etc.). * Basic understanding of RAG (Retrieval\-Augmented Generation) pipelines and vector databases (e.g., FAISS, Pinecone). * Exposure to LLM\-based agent frameworks or orchestration tools is a plus. * Solid understanding of MLOps principles, including model versioning, deployment, monitoring, and CI/CD pipelines for machine learning workflows. * Excellent communication and teamwork skills. **Preferred Qualifications:** * Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). * Knowledge of natural language processing (NLP) or computer vision (CV) technologies. * Familiarity with tools like LangChain, LlamaIndex, or Hugging Face Transformers. * Understanding of embeddings and chunking strategies for document\-based AI systems. * Familiarity with DevOps practices and tools.