Applied AI Engineer: Production AI & Multi-Agent Systems

Stealth Startup; Menlo Park (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Stealth Startup in Menlo Park, CA is hiring an Applied AI Engineer to design, fine-tune, and deploy production-grade AI models powering next-generation AI agents in financial workflows. The role sits at the intersection of research and real-world deployment — taking models from experimentation to high-stakes production systems, with collaboration across product and engineering teams globally.

Responsibilities include fine-tuning LLMs and multimodal models, building AI agents for multi-step

Qualifications

• Strong Python and ML framework experience for model development.
• Hands-on experience with PyTorch and multimodal models.
• Familiarity with evaluation and ablation studies in ML workflows.

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.

Skills

Python

PyTorch

Hugging Face

Production deployment

Experimentation & evaluation

Tools

Hugging Face ecosystem

GPU optimization

Job description

Stealth Startup in Menlo Park, CA is hiring an Applied AI Engineer to design, fine-tune, and deploy production-grade AI models powering next-generation AI agents in financial workflows. The role sits at the intersection of research and real-world deployment — taking models from experimentation to high-stakes production systems, with collaboration across product and engineering teams globally.

Responsibilities include fine-tuning LLMs and multimodal models, building AI agents for multi-step