Applied AI Engineer [33306]

Job Location: Menlo Park, California, United States (On-site) We are looking for an Applied AI Engineer to help design, train, and deploy production-grade AI models powering next-generation AI agents in financial workflows. This role focuses on fine-tuning, post-training optimization, and building reliable model pipelines using both open-source and proprietary data. You will work closely with product, engineering, and domain experts to translate business problems into scalable AI systems. ⸻

Model Development & Training • Fine-tune large language models and multimodal models for domain-specific use cases • Design post-training pipelines (instruction tuning, RLHF, evaluation loops, etc.) • Implement and optimize training workflows using open-source frameworks • Experiment with model architecture improvements and hyperparameter optimization ⸻ AI Agent & System Integration • Build and improve AI agents capable of executing multi-step workflows • Integrate models into production environments and product features • Improve model reliability, accuracy, and robustness for high-stakes applications • Develop evaluation and testing frameworks for model performance and edge cases ⸻ Data & Experimentation • Work with proprietary domain datasets to improve model specialization • Design training datasets, labeling pipelines, and data quality frameworks • Conduct ablation studies and performance benchmarking ⸻ Cross-Functional Collaboration • Partner with product teams to design AI-first product experiences • Provide technical feasibility insights for roadmap and feature planning • Collaborate with global engineering teams on implementation and scaling ⸻