AI Engineer

• Assist in the design, development, testing, and deployment of AI and machine learning solutions.
• Build and evaluate machine learning models using structured and unstructured data.
• Develop applications leveraging Large Language Models (LLMs) and Generative AI technologies.
• Create prompts, evaluate model outputs, and improve AI application performance.
• Support the development of Retrieval-Augmented Generation (RAG) solutions and AI agents.
• Prepare, clean, and analyze datasets for model training and evaluation.
• Collaborate with senior engineers to integrate AI capabilities into enterprise applications.
• Participate in Agile ceremonies including sprint planning, standups, retrospectives, and code reviews.
• Document technical designs, experiments, and implementation approaches.
• Stay current with emerging AI technologies, research, and industry best practices.

• Master's degree in Artificial Intelligence, Computer Science, Data Science, Machine Learning, Software Engineering, or a related technical discipline.
• Strong understanding of machine learning fundamentals and AI concepts.
• Experience developing projects using Python.
• Knowledge of libraries such as TensorFlow, PyTorch, Scikit-learn, LangChain, or similar AI frameworks.
• Familiarity with Large Language Models (LLMs) and Generative AI concepts.
• Understanding of REST APIs and software development best practices.
• Experience using Git or other version control systems.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills.

Preferred Qualifications 

• Academic or personal projects involving LLMs, AI agents, RAG, or Generative AI.
• Familiarity with cloud platforms such as Microsoft Azure, AWS, or Google Cloud.
• Experience using vector databases or embeddings.
• Knowledge of SQL and basic data engineering concepts.
• Exposure to Docker, Kubernetes, or CI/CD pipelines.
• Internship or research experience in AI, machine learning, or software development.
• Passionate about AI and excited to continuously learn new technologies.
• Strong team player who enjoys collaborating and sharing ideas.
• Curious, adaptable, and eager to tackle new challenges.
• Self-starter who takes initiative while seeking feedback and mentorship.
• Strong attention to detail and commitment to delivering high-quality work.
• Positive attitude with excellent interpersonal skills.
• Comfortable working in a fast-paced, Agile environment.