Artificial Intelligence Engineer

Company Description

Krastor is an operator-led AI consulting and implementation firm that designs, builds, and runs AI architectures and automation solutions for small and mid-sized businesses. The company embeds with client teams to coach, operate, and maintain AI-driven systems that support strategy, operations, and revenue functions. Krastor focuses on practical, production-ready AI deployments that create measurable business impact. Team members collaborate closely with clients, helping them adopt and scale AI responsibly and efficiently. Role Description This remote Artificial Intelligence Engineer contract role focuses on designing, developing, and deploying AI solutions for client organizations. The engineer will build and refine machine learning models, integrate AI components into existing software systems, and collaborate with consulting teams to understand business requirements and translate them into technical solutions. Day-to-day tasks include performing data analysis, implementing and optimizing neural networks and NLP models, developing robust APIs or services, and monitoring performance of AI systems in production. The role also involves documenting architectures, advising clients on best practices, and supporting ongoing improvements to AI-driven workflows.

Qualifications

Strong foundation in Computer Science and Software Development skills for building, integrating, and maintaining AI-driven applications. Expertise in Pattern Recognition and Neural Networks to design, train, and optimize machine learning and deep learning models. Hands-on experience with Natural Language Processing (NLP) techniques and tools for building language-based AI solutions. Proficiency in programming languages commonly used in AI (such as Python), and familiarity with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Experience deploying models into production environments, including containerization, APIs, and cloud platforms (e.g., AWS, GCP, Azure). Ability to work independently in a remote, client-facing environment, communicating complex technical concepts clearly to non-technical stakeholders. Bachelor’s or advanced degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience. Background in consulting, product engineering, or startup environments is beneficial, especially with small and mid-sized business clients.