• Following research plans to collect, record, and analyze research data. • Maintains accurate and detailed research records and files. • Testing software prototypes and interacting with fellow researchers. • Performing basic data analysis to produce reports and contribute to research publications. • Other duties as assigned.

• Design, prototype, and build advanced agentic systems capable of highly autonomous, context-aware, and adaptive interactions across diverse real estate use cases • Apply test-time scaling and post-training techniques to develop agents that can reason, collaborate, compete, or negotiate in dynamic, goal-driven environments to fulfill user needs • Define and refine evaluation and experimentation processes for LLM-driven applications • Stay at the forefront of agentic AI research and innovation, bringing emerging techniques into practical application to shape product direction • Contribute to the broader scientific community through publications, conference presentations, and internal knowledge sharing • Mentor and guide junior scientists and engineers, promoting best practices in applied research, scalable agentic architecture, and responsible AI development

• Develop and maintain SentiLink’s fraud detection models through the full model development lifespan: from data acquisition decisions through featurization, focusing labeling resources, model training, experimentation, productionalization, and monitoring. • Build foundational modeling to drive SentiLink’s expanding suite of Fraud and Financial Risk products. • Research new types of fraud and develop new SentiLink products around identity verification. • Achieve success by researching / developing through iteration, integration of new data sources and inventive feature engineering. • Write production-ready code that can be relied on for real-time decision making by our partners. • Design, perform, and present analyses that will inform data acquisition, product development, risk operations priorities, marketing, and sales efforts. • Work with engineering, risk operations, and data acquisitions to access necessary data, maintain data quality, and support data access

• Develop and maintain SentiLink’s fraud detection models through the full model development lifespan: from data acquisition decisions through featurization, focusing labeling resources, model training, experimentation, productionalization, and monitoring. • Build foundational modeling to drive SentiLink’s expanding suite of Fraud and Financial Risk products. • Research new types of fraud and develop new SentiLink products around identity verification. • Achieve success by researching / developing through iteration, integration of new data sources and inventive feature engineering. • Write production-ready code that can be relied on for real-time decision making by our partners. • Design, perform, and present analyses that will inform data acquisition, product development, risk operations priorities, marketing, and sales efforts. • Work with engineering, risk operations, and data acquisitions to access necessary data, maintain data quality, and support data access