Forward Deployed Software Engineer

dynamism; San Francisco (CA); On-site; USD 350,000 - 450,000; Full time

Benefits offered by this job

Equity

Job summary

Dynamism is hiring a Forward Deployed Software Engineer to build scalable deployments for partner integrations in San Francisco or New York. This on-site role blends engineering, data, and research collaboration to move fast with rigor.

You will own tooling, environment runtimes, and evaluation infrastructure while working closely with researchers and technical teams. The role rewards ownership, speed with quality, and meaningful equity alongside a strong base salary.

Qualifications

• Have founded a company, worked as an early engineer, or owned outcomes in a high agency environment
• Technical generalist who can cross engineering, research, data, and partner-facing work
• Can communicate with clarity while priorities and context change quickly
• Use AI agents deeply while retaining your own technical taste and judgment
• Think in systems and move quickly without sacrificing detail or reliability

Responsibilities

• Build tooling and services that turn bespoke environment and evaluation work into repeatable deployments
• Integrations with partner infrastructure under security, reliability, and data constraints
• Environment runtimes, task pipelines, realistic data, and evaluation harnesses
• Debugging across model behaviour, software, data, and infrastructure failure modes
• Systems that preserve quality as deployment volume and complexity grow

Job description

Forward Deployed Software Engineer
Full time · San Francisco or New York · On site

Compensation: $350K to $450K base salary plus meaningful equity
Location: San Francisco or New York, 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 behaviour 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 build the software that makes each partner deployment fast, repeatable, and difficult to break. You will work across integrations, environment runtimes, data, task generation, and evaluation tooling while staying close to the researchers and technical teams using the work.

What You'll Own

• Tooling and services that turn bespoke environment and evaluation work into repeatable deployments
• Integrations with partner infrastructure under real security, reliability, and data constraints
• Environment runtimes, task pipelines, realistic data, and evaluation harnesses
• Debugging across model behaviour, software, data, and infrastructure failure modes
• Systems that preserve quality as deployment volume and complexity grow
• Have founded a company, worked as an early engineer, or owned outcomes in a high agency environment
• Are a technical generalist who can cross engineering, research, data, and partner-facing work
• Can communicate with clarity while priorities and context change quickly
• Use AI agents deeply while retaining your own technical taste and judgment
• Think in systems and move quickly without sacrificing detail or reliability
• Built or led an early stage company
• Worked on AI evaluations, post-training, model behaviour, or simulated environments
• Collaborated directly with frontier model researchers or demanding technical customers
• Built deployment, data, or research infrastructure under rapidly changing requirements

• Compensation: $350K to $450K base salary plus meaningful equity
• Location: San Francisco or New York, 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.