AI Engineer (Backend-heavy)

Platform offering solutions to search and understand papers. Its designed to assist researchers in various stages of their academic work. Build, train, and optimize machine learning models for real-world use cases Develop and deploy AI/ML pipelines from data processing to model inference Work with structured and unstructured data to improve model performance Integrate ML models into backend services and production systems Collaborate with product and engineering teams to define AI-driven features Monitor model performance, accuracy, and drift in production Experiment with new models, techniques, and tools to improve results Write clean, well-documented, and maintainable ML/AI code Assist in improving data quality, feature engineering, and evaluation pipelines we're looking for an AI Engineer of experience to build, deploy, and improve machine learning and AI-driven systems in production. you'll work closely with product, backend, and data teams to turn models into real-world features, focusing on performance, reliability, and impact. This role is ideal for engineers who enjoy applying ML/AI to practical problems and taking ownership of models from experimentation to production.