Product Engineer

Job Summary

The Product Engineer will be responsible for building high-quality simulations that are essential for training, evaluating, and improving AI agents. This role involves working collaboratively with Applied Researchers and subject-matter experts to create realistic environments that aid in the enhancement of AI models, pushing the boundaries of what is possible in AI development.

Responsibilities

• Develop Reinforcement Learning (RL) environments end-to-end, which includes frontend interfaces, backend services, APIs, data models, and workflows using technologies such as React/TypeScript, Next.js, Python, and SQLite.
• Collaborate closely with Applied Researchers, subject-matter experts, and Quality Assurance (QA) specialists to ensure the simulations are realistic and accurate.
• Maintain a high standard for the internal tooling, identifying shortcomings, and helping to improve systems over time.
• Analyze task coverage, environment correctness, edge cases, and adversarial agent behavior critically.
• Utilize AI coding tools (such as Claude Code and Codex) effectively, proposing ideas for enhancements and new tooling.

Qualifications

• Bachelor's Degree (B.Tech), Master's Degree (M.Tech), or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field.
• Minimum of 3 years of experience as a software engineer, full-stack engineer, product engineer, or in a similar role.
• Proven track record of owning complex products from ambiguous requirements through to production launch, ideally in a startup or a high-velocity team at a larger company.
• Experience with enterprise SaaS tools, understanding their behavior after years of user interactions, data processes, and operational constraints.
• Strong engineering judgment regarding system correctness, failure modes, edge cases, and adversarial behavior.
• A proactive mindset, willingness to learn, unlimited energy, and relentless optimism.

Preferred Skills

• Familiarity with reinforcement learning, agent evaluation, verifiers, reward models, or machine learning infrastructure.
• Experience with browser automation tools such as Playwright or Selenium.

Experience

• A minimum of 3 years of relevant experience in software engineering or related domains.

Benefits

• Competitive salary and equity options (Employee Stock Ownership Plans).
• Group medical insurance for employees and their families, including group accident and life coverage.
• Health and wellness reimbursement, which covers gym memberships and wellness expenses.
• Daily meals provided in the office.
• Generous paid leave, including 26 weeks of paid maternity leave.
• Additional health and wellness stipend.
• Inclusive and diverse workplace culture with a commitment to equality and respect for all employees.