AI Systems Builder; Impact-Driven

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.

• Fine-tune LLMs and multimodal models for domain-specific use cases
• Design post‑training workflows (instruction tuning, RLHF, evaluation loops)
• Run ablation studies and hyperparameter tuning

• 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
• Work with proprietary datasets
• Build labeling and data‑quality pipelines
• Partner with product and engineering teams globally

• 1–4 years hands‑on ML/AI training experience
• Strong Python + Py Torch
• 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.