Member of Technical Staff - Engineering

Patronus AI, Inc.; Northern (KY); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary and equity

Group medical insurance for you and to

Wellness reimbursement for gym and spa

Whoop band and Oura Ring

Provident Fund and optional NPS

Daily meals in office

Health and wellness stipend

Global offsites

Generous paid leave

Job summary

Patronus AI, Inc. is hiring an Engineer to build high-quality simulations used to train and evaluate AI agents. You will own end-to-end agent environments, collaborating with researchers and platform engineers to turn specifications into robust software and realistic simulations.

Your work drives stress-testing of next-generation AI agents, advancing safe, human-aligned general intelligence. Office-based role requiring on-site attendance five days a week.

Qualifications

• 3+ years software engineering in full-stack roles, ideally in startups or high-velocity teams.
• Experience owning complex products end-to-end, from ambiguous requirements through production launch.
• Experience with real enterprise SaaS tools (CRMs, ticketing systems, billing).
• Strong engineering judgment around correctness, failure modes, edge cases, and adversarial behavior.

Responsibilities

• Build RL environments end-to-end — frontend interfaces, backend services, APIs, data models, and workflows — using React/TypeScript, Next.js, Python, and SQLite.
• Own delivery of the environments, collaborating with researchers, SME, and QA to ensure realism and detect issues.
• Maintain internal tooling and platforms, identifying gaps and contributing improvements.
• Define environment requirements, coverage, edge cases, and adversarial scenarios.
• Act as a power user of AI coding tools (Claude Code, Codex) and extend tooling.

Skills

Full-stack engineering

Product ownership

SaaS tooling

Engineering judgment

Education

B.Tech / M.Tech / PhD in CS/ML/Stats

Tools

Claude Code

Codex

Job description

Patronus AI is a frontier lab developing simulation research and infrastructure to accelerate progress toward human-aligned AGI. We are on a mission to simulate all of the world’s intelligence.

We are the team behind some of the earliest and most influential research in AI evaluation like FinanceBench , Lynx , SimpleSafetyTests , CopyrightCatcher , Humanity’s Last Exam , and more. We are formerly AI researchers and engineers from companies like Meta AI, Amazon AGI, and Google. Our customers include foundation model labs and Fortune 500 enterprises like Adobe. We are backed by top-tier investors like Lightspeed Venture Partners, Notable Capital, Stanford University, Noam Brown, Gokul Rajaram, and more.

Responsibilities

As an Engineer at Patronus AI, you will build high-quality simulations used to train, evaluate, and improve AI agents. These environments model real-world applications and workflows, producing the interaction data frontier labs need to improve their models.

You will own complex agent environments end-to-end, working with Applied Researchers to turn specifications into robust software, subject-matter experts to deepen realism, and platform engineers to improve the tooling we build on.

Your work will help frontier labs stress-test and improve the next generation of AI agents, advancing progress toward safe, human-aligned general intelligence.

In this role, you will:

• Build RL environments end-to-end — frontend interfaces, backend services, APIs, data models, and workflows — using technologies like React/TypeScript, Next.js, Python, and SQLite.
• Own delivery of the environments, working closely with Applied Researchers, subject-matter experts and QA specialists to ensure our simulations are realistic and recognize when something feels wrong in a simulation. Catch seed data that is suspiciously tidy, a workflow with no contradictions, or a UI with none of the accumulated scar tissue of real software.
• Maintain a high bar for the internal tooling and platforms you work with, identifying where it falls short and contribute back to it.
• Think critically about task coverage, environment correctness, edge cases, and adversarial agent behavior, while defining requirements for environments.
• Be a power user of AI coding tools (Claude Code, Codex, and similar), with ideas for extending them and building new tooling on top.

Qualifications

The number one qualification to succeed in this machine learning course is gumption” - John Lafferty, CS Professor at Yale

Above all, we look for a proactive mindset, willingness to learn, unlimited energy, and relentless optimism. You are a great fit if you have a background in the following:

• B. Tech, M. Tech, or PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a related field with 3+ years of experience as a software engineer, full-stack engineer, product engineer, or in a similar role.
• A track record of owning complex products end-to-end, from ambiguous requirements through production launch, ideally at a startup or in a high-velocity team in a larger company.
• Experience with real enterprise SaaS tools, whether building them or using them deeply in your day-to-day work. CRMs, ticketing systems, billing platforms, or similarly complex applications. You understand how this software behaves after years of users, data, exceptions, and operational constraints.
• Strong engineering judgment around correctness, failure modes, edge cases, and adversarial behavior.

Nice to have:

• Experience with reinforcement learning, agent evaluation, verifiers, reward models, or ML infrastructure — though deep applied research experience isn't required.

To support close collaboration, this role requires in-office attendance 5 days a week.

• Competitive salary and equity (ESOPs)
• Group medical insurance for you and your family, plus group accident and life cover
• Health and wellness reimbursement covering gym memberships, massages, and other fitness and wellbeing expenses
• Whoop band, Oura ring, Function Health
• Provident Fund (EPF) and optional NPS contributions
• Daily meals provided in office
• Monthly health and wellness stipend
• Generous paid leave, plus 26 weeks paid maternity leave
• Fun global offsites!

Patronus AI is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.