Applied AI Engineer II

Company Description Prorated is a technology company focused on building practical, high-impact AI solutions that integrate seamlessly into modern software products. The team combines strong engineering discipline with applied machine learning research to deliver tools that are reliable, scalable, and easy to use. Prorated values collaborative problem-solving, clear communication, and an iterative approach to product development. Team members are encouraged to experiment responsibly, share knowledge, and contribute to a culture of continuous improvement and technical excellence.
Role Description The Applied AI Engineer II role at Prorated is a full-time, on-site position based in the San Francisco Bay Area. In this role, you design, build, and deploy AI-powered features across Prorated’s products, working closely with software engineers, product managers, and data teams. Day-to-day responsibilities include prototyping and training models, integrating them into production systems, performing model evaluation and optimization, and monitoring performance and reliability. You will contribute to end-to-end solutions, from data preparation and feature engineering to API design and implementation, while following best practices for testing, observability, and documentation. This role also involves reviewing code, sharing technical insights with the team, and helping refine the AI roadmap based on user feedback and business needs.
Qualifications
Strong foundation in Computer Science and Software Development, including data structures, algorithms, and experience building production-grade systems.
Hands-on experience with Neural Networks and Pattern Recognition, with the ability to design, train, and evaluate models for real-world applications.
Practical background in Natural Language Processing (NLP), such as text classification, information extraction, or conversational interfaces.
Proficiency in a modern programming language commonly used in AI/ML (e.g., Python), and familiarity with frameworks such as PyTorch or TensorFlow.
Experience working with ML pipelines, data preprocessing, and model deployment (e.g., REST APIs, microservices, or cloud-based platforms).
Ability to analyze metrics, run experiments, and iterate on models and systems to improve accuracy, robustness, and latency.
Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent practical experience.
Strong collaboration and communication skills, with the ability to work effectively in cross-functional teams and a willingness to mentor and be mentored.

Skills
Python, REST API, Microservices, Machine Learning, NLP, TensorFlow, PyTorch

Experience
2-5 yrs

Work arrangement
No