AI Systems Builder (Impact-Driven) [32879] (Menlo Park)

We’re hiring an Applied AI Engineer to design, fine-tune, and deploy production-grade AI models powering next-generation AI agents in financial workflows. This role sits at the intersection of research and real-world deployment — taking models from experimentation to high-stakes production systems. What You’ll Do Model Development Fine-tune LLMs and multimodal models for domain-specific use cases Design post-training workflows (instruction tuning, RLHF, evaluation loops) Optimize training pipelines using open-source frameworks Run ablation studies and hyperparameter tuning AI Agent Systems Build AI agents capable of executing multi-step workflows Integrate models into production environments Improve robustness, accuracy, and reliability Develop evaluation frameworks for edge cases Data & Collaboration Work with proprietary datasets Build labeling and data-quality pipelines Partner with product and engineering teams globally Requirements 1–4 years hands-on ML/AI training experience Strong Python + PyTorch Experience with Hugging Face ecosystem Experience deploying models to production Understanding of model evaluation trade-offs Bonus: RLHF, model distillation, RAG, distributed training, GPU optimization, multi-agent systems.