Staff Engineer, AI Systems & Infrastructure

Patronus AI; San Francisco (CA); On-site; USD 160,000 - 300,000; Full time

Benefits offered by this job

Equity

In-office lunch & dinner

Health, dental, and vision insurance

401(k) plan + matching

Monthly meal stipend

Whoop band

Equinox membership

Global offsites

Job summary

Patronus AI is a frontier lab building simulation research infrastructure to accelerate progress toward human-aligned AGI. This role, based in San Francisco, focuses on owning and delivering production-grade systems spanning frontend, backend, ML infra, and agent tooling.

You will work across the stack with researchers and engineers to turn ambiguous problems into robust, scalable solutions, applying strong product instincts and independent execution.

Qualifications

• Ship non-trivial software end-to-end as an individual contributor.
• Strong fundamentals in backend/infrastructure, frontend/product engineering, or ML systems.
• Experience building production systems in Python, Go, and/or TypeScript.
• Experience with modern LLMs and agents at the application level.
• Strong judgment on design, reliability, and edge cases.
• High independence to operate in ambiguity and ship.
• Fluency with AI coding tools to automate workflows.
• A BS, MS, or PhD in CS/ML/SE or related quantitative field or equivalent experience.

Responsibilities

• Build agent environments and simulations end-to-end, including frontend interfaces, backend services, APIs, data models, tools, and workflows used to train and evaluate AI agents.
• Build the infrastructure powers our agent gym, including orchestration, sandboxing, packaging, benchmarking, and systems for running environments across heterogeneous targets.
• Develop internal platforms and developer tools used by researchers and engineers, from backends and dashboards to CLIs, SDKs, review agents, codegen helpers, and workflow automations.
• Build and operate ML infrastructure, including model deployment and serving, evaluation systems, GPU workloads, and the services that make compute accessible to the broader team.
• Own systems from ambiguous idea through production. Define the problem, make architectural decisions, implement the solution, instrument it, and iterate based on how it performs in practice.
• Think deeply about correctness and failure modes. Design for edge cases, adversarial agent behavior, reproducibility, observability, and the messy realities of production systems.
• Partner closely with researchers to productionize experiments and build the software and infrastructure needed to turn research ideas into scalable systems.
• Be a power user of AI coding tools like Claude Code, Codex, Cursor, and similar tools - and build new tooling and automations on top of them when existing workflows aren't good enough.
• Move quickly without sacrificing judgment. Make pragmatic decisions about what needs to be robust today, what can evolve later, and where technical investment will create leverage for the team.

Skills

End-to-end shipping

Backend/infrastructure depth

Frontend engineering

ML systems experience

Python/Go/TypeScript

AI tooling fluency

Education

BS/MS/PhD in CS/ML/SE or related field

Tools

React

TypeScript

Next.js

Python

Go

Job description

Patronus AI is a frontier lab building simulation research infrastructure to accelerate progress toward human-aligned AGI. This role, based in San Francisco, focuses on owning and delivering production-grade systems spanning frontend, backend, ML infra, and agent tooling.

You will work across the stack with researchers and engineers to turn ambiguous problems into robust, scalable solutions, applying strong product instincts and independent execution.