Summary: We are seeking a Data Engineer with strong UI engineering expertise to help design, build, and optimize AI-driven workflow systems within our Annotation Platform, combining data engineering, AI model integration, and complex dynamic UI development. Highlights: 1. Design, build, and optimize AI-driven workflow systems 2. Combine data engineering, AI model integration, and dynamic UI development 3. Bridge AI outputs with human-in-the-loop systems We are seeking a Data Engineer with strong UI engineering expertise to help design, build, and optimize AI\-driven workflow systems within our Annotation Platform. This role combines **data engineering, AI model integration, and complex dynamic UI development**. You will design data pipelines and structured outputs while also building intelligent, workflow\-driven user interfaces that interact seamlessly with AI models. You will work closely with ML engineers, product teams, and operations to ensure high\-quality, scalable, production\-ready AI workflows. This is ideal for someone who understands both data systems and frontend workflow architecture, and can bridge AI outputs with human\-in\-the\-loop systems. **Responsibilities:** **Data Engineering \& AI Systems** * Design and maintain structured data pipelines for AI training and evaluation * Develop and refine AI/ML models to support product and business needs * Implement data preprocessing, validation, normalization, and schema design * Conduct exploratory data analysis to derive actionable insights * Design ML\-ready structured outputs for downstream systems * Deploy and monitor AI models in production environments * Collaborate with ML engineers on fine\-tuning, RAG workflows, or evaluation systems **UI \& Workflow Engineering** * Build complex, dynamic workflow\-driven UIs using React * Apply deep JavaScript / TypeScript expertise to design scalable frontend architecture * Develop configurable workflow systems that adapt to customer guidelines * Implement advanced conditional logic and validation systems * Ensure seamless data flow between UI, backend, and AI models * Optimize UI for productivity, quality control, and data integrity * Architect modular, reusable UI components for large\-scale annotation workflows **Required Skills:** **Data \& AI** * Strong programming skills in Python * Experience with modern ML frameworks (PyTorch, TensorFlow, etc.) * Solid understanding of: * Data preprocessing * Model training and evaluation * Model deployment * Familiarity with SQL and ETL workflows * Strong understanding of structured data modeling and schema design **UI \& Workflow Systems** * Deep JavaScript / TypeScript expertise * Strong React experience * Experience building complex dynamic workflow systems * Experience designing logic\-heavy, state\-driven frontend applications * Strong understanding of REST APIs and backend integration * Experience ensuring structured and validated data output from UI systems **Cross\-Functional** * Strong communication skills (written and verbal English) * Ability to work independently in a distributed team * Ability to translate business requirements into scalable technical solutions **Preferred Qualifications** * 1–3 years of experience in data engineering, applied ML, or AI systems * Experience integrating AI models into production applications * Exposure to fine\-tuning, LLM evaluation systems * Experience with cloud platforms (AWS, Azure, etc.) * Experience building configurable internal tools or operational dashboards * Basic data analysis skills (SQL, metrics, quality analysis, productivity tracking) * Experience working in startup or fast\-moving environments **What Makes You a Strong Fit** * You think in systems — both data flow and UI flow * You understand how AI outputs must be structured for production * You can design user interfaces that improve data quality and productivity * You are comfortable handling evolving requirements * You care about performance, reliability, and scalability