Applied AI Engineer: Build Production AI Agents

Stealth Startup; Menlo Park (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Stealth Startup in Menlo Park, CA, seeks 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 production, taking models from experimentation to robust, scalable systems. You will fine-tune LLMs, design post-training workflows, run ablations, and integrate models into production with product and engineering teams worldwide.

Qualifications

• 1–4 years hands-on ML/AI training experience.
• Strong Python + PyTorch skills.
• Experience with Hugging Face ecosystem.
• Experience deploying models to production.
• Understanding of model evaluation trade-offs.

Responsibilities

• 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.

Skills

Python

PyTorch

Hugging Face

Production deployment

Model evaluation

Job description

Stealth Startup in Menlo Park, CA, seeks 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 production, taking models from experimentation to robust, scalable systems. You will fine-tune LLMs, design post-training workflows, run ablations, and integrate models into production with product and engineering teams worldwide.