AI Systems Builder (Impact-Driven) [33169]

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 DoModel DevelopmentFine-tune LLMs and multimodal models for domain-specific use casesDesign post-training workflows (instruction tuning, RLHF, evaluation loops)Optimize training pipelines using open-source frameworksRun ablation studies and hyperparameter tuningAI Agent SystemsBuild AI agents capable of executing multi-step workflowsIntegrate models into production environmentsImprove robustness, accuracy, and reliabilityDevelop evaluation frameworks for edge casesData & CollaborationWork with proprietary datasetsBuild labeling and data-quality pipelinesPartner with product and engineering teams globallyRequirements1–4 years hands-on ML/AI training experienceStrong Python + PyTorchExperience with Hugging Face ecosystemExperience deploying models to productionUnderstanding of model evaluation trade-offsBonus: RLHF, model distillation, RAG, distributed training, GPU optimization, multi-agent systems.