AI Engineer

AI Engineer
Full-time · San Francisco · On-site

💰 Compensation: $400K to $500K base salary plus meaningful equity
📍 Location: San Francisco, on-site

At Dynamism, we partner with breakout startups backed by Sequoia, a16z, and Y Combinator to help them hire engineers with founder energy, people who build fast, think like owners, and thrive in zero-to-one environments.

We're hiring for this role at an early-stage applied AI company building high-fidelity environments, tasks, data, and evaluation infrastructure that help frontier models learn reliable behavior in real work. The company works closely with frontier AI labs and enterprises, and is backed by Sequoia Capital, Menlo Ventures, BCV, and SV Angel. Its engineering-first team brings together former founders, researchers, and deeply technical builders who value speed with rigor, truth over comfort, and precision under pressure.

🎯 The Role

You will bridge partner engagements and core research, translating a lab request into the underlying capability it is trying to teach or measure. You will then ship environments, tasks, data, rewards, and evaluation artifacts that can go directly into training or eval runs.

🧩 What You'll Own

• Turning ambiguous partner asks into precise research and engineering problems
• End-to-end environments, tasks, data, rewards, and evaluation harnesses
• Failure-mode analysis covering reward bugs, leaked answers, degenerate paths, and flaky environments
• Feedback loops that turn model behavior observed in delivery into new research directions
• Reusable harnesses, evaluation protocols, dataset patterns, and infrastructure primitives

✅ You Might Be a Fit If You

• Are a strong production Python engineer comfortable with containers, distributed systems, and GPUs
• Understand how models learn from environments, rewards, supervision, preference data, and RL data
• Have the research taste to identify whether the environment, reward, or data is the limiting factor
• Can own a technical engagement from an unclear request through a reliable shipped artifact
• Are energized by frontier work where the right answer is not known in advance

🛠 Stack

Python, PyTorch, containers, distributed systems, GPU infrastructure, RL environments, eval harnesses

Bonus if you've:

• Founded a company or joined an early-stage startup as an early engineer
• Worked directly with frontier model researchers
• Built AI evaluations, post-training systems, or agent infrastructure
• Bring deep expertise in a domain that could be taught to or evaluated in a model

📋 Role Details

• Compensation: $400K to $500K base salary plus meaningful equity
• Location: San Francisco, on-site
• Full-time and on-site

This role will not suit someone looking for routine, a narrow technical silo, or a management-only position. The team moves quickly, expects direct ownership, and does not trade quality for speed.

Apply via LinkedIn, or reach us at [email protected].