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AI Systems Builder (Impact-Driven) [33164]

Job

Stealth Startup

Menlo Park, CA (In Person)

Full-Time

Posted 1 week ago (Updated 2 days ago) • Actively hiring

Expires 6/27/2026

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Job Description

AI Systems Builder (Impact-Driven) [33164] at Stealth Startup AI Systems Builder (Impact-Driven) [33164] at Stealth Startup in Menlo Park, California Posted in 3 days ago.
Type:
full-time
Job Description:
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.