Senior Forward Deployed Software Engineer

dynamism

San Francisco (CA)

On-site

USD 350,000 - 450,000

Full time

12 days ago

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Benefits offered by this job

Meaningful equity

Job summary

Dynamism in San Francisco or New York on site is hiring a Senior Forward Deployed Software Engineer to lead the software layer beneath complex partner deployments, translating bespoke environment, data, and evaluation work into repeatable infrastructure.

You will own architecture for deployment services, ensure reliability and observability at scale, and collaborate with frontier model teams and demanding customers.

Qualifications

  • Experience building deployment infrastructure for AI/ML systems.
  • Proven ability to own end-to-end deployments in fast-moving teams.
  • Strong communication and prioritization in high-ambiguity environments.

Responsibilities

  • Lead software layer under partner deployments and build repeatable infrastructure.
  • Own architecture for deployment services and evaluation tooling.
  • Ensure reliability, performance, and observability at scale.
  • Collaborate with frontier model teams and demanding customers.

Skills

Architecture
Deployment tooling
Observability
Reliability
Cross-functional comms
AI evaluation
Systems thinking

Job description

Senior Forward Deployed Software EngineerFull 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 lead the software layer beneath complex partner deployments, deciding how bespoke environment, data, and evaluation work becomes repeatable infrastructure. The role combines architecture, hands-on delivery, research judgment, and close collaboration with frontier model teams.

What You'll Own
  • Architecture for deployment services, integrations, environment runtimes, and evaluation tooling
  • The most complex partner deployments from technical discovery through reliable delivery
  • Reliability, performance, and observability where training and evaluation work runs at scale
  • Technical standards and reusable patterns that other deployment engineers can build on
  • Escalations where correctness, research validity, and turnaround time all matter
  • 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.

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