AI Systems Builder (Impact-Driven) [33162]

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.