Full-stack Engineer (Product)
Application deadline: We are conducting interviews actively and aim to fill this role as soon as we find someone suitable.
THE OPPORTUNITY
Join our Join our new AGI safety product team and help transform complex AI research into practical tools that reduce risks from AI. As a Full Stack Engineer, you'll work closely with our CEO (also Head of Product), other product engineers and Evals team software engineers to build tools that make AI agent safety accessible at scale for our customers. We are building products that monitor AI coding agents for safety and security failures. You will join a small team and will have significant ability to shape the team & tech, and have the ability to earn responsibility quickly.
You will like this opportunity if you care about building products that genuinely make AI agents safer and you thrive in high-paced environments and enjoy closely working with researchers.
KEY RESPONSIBILITIES
Product Development
- Collaborate with the team lead to refine tool requirements, and translate them into technical specifications and architectures
- Design, develop, and maintain features across the full stack, from responsive front-end interfaces (e.g. using React) to scalable backend services in Python
- Write clean, well-tested, and maintainable code that meets our high standards for security and performanceTalk to users to understand their use-cases and needs
Back-End Development
- Design and implement scalable backend services that can process and analyze large volumes of AI agent logs
- Implement RESTful APIs and data processing pipelines for AI agent logs
- Implement secure API endpoints that allow customers to integrate our tools into their workflows
- Build monitoring and logging systems to ensure reliability and performance
Front-End Development
- Build intuitive user interfaces that help customers understand and act on AI agent safety & security evaluations
- Develop interactive data visualizations that effectively communicate complex AI behaviors, e.g. hour-long coding agent trajectories
- Ensure responsive design and cross-browser compatibility for users
- Implement authentication, authorization, and other security measures to protect sensitive customer data
Collaboration & Communication
- Work side-by-side with our researchers and software engineers. We’re “our own customer” since our researchers use our products
- Participate in code reviews to maintain high code quality
- Document technical decisions and implementations to facilitate knowledge sharing
- Contribute to technical discussions about architecture, technology choices, and implementation approaches
- Help the product team grow by sharing your own knowledge, offer thoughtful feedback and participate in trade off discussions
JOB REQUIREMENTS
Bonus:
We want to emphasize that people who feel they don’t fulfill all of these characteristics but think they would be a good fit for the position nonetheless are strongly encouraged to apply. We believe that excellent candidates can come from a variety of backgrounds and are excited to give you opportunities to shine.
WHAT YOU'LL ACCOMPLISH IN YOUR FIRST YEAR
REPRESENTATIVE PROJECT
BENEFITS
LOGISTICS
ABOUT THE TEAM
The product team is a new team. Especially early on, you will work closely with Marius Hobbhahn (CEO), Jeremy Neiman (product engineer) and Zak Walters (product engineer) on the monitoring team. You’ll also sometimes work with our SWEs, Rusheb Shah, Andrei Matveiakin, Alex Kedrik, and Glen Rodgers to translate our internal tools into externally usable products. Furthermore you will interact with our researchers, since we intend to be “our own customer” by using our tools internally for our research work. You can find our full team here.
ABOUT APOLLO
The rapid rise in AI capabilities offer tremendous opportunities, but also present significant risks. At Apollo Research, we’re primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We’re particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight. We work on the detection of scheming (e.g., building evaluations), the science of scheming (e.g., model organisms), and scheming mitigations (e.g., anti-scheming and control). We closely work with multiple frontier AI companies, e.g. to test their models before deployment or collaborate on scheming mitigations.
We’re now also developing tools and products that make it easier to prevent harms from AI systems widely deployed AI systems. We specifically target coding agent safety since coding agents are the most advanced agents and tasked with high-stakes decisions.
At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful. If you’re interested in more details about what it’s like working at Apollo, you can find more information here.
Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation.
HOW TO APPLY
Please complete the application form with your CV. The provision of a cover letter is neither required nor encouraged. Please also feel free to share links to relevant work samples.
About the interview process: Our multi-stage process includes a screening interview, a take-home test (approx. 3 hours), 3 technical interviews, and a final interview with Marius (CEO). The technical interviews will be closely related to tasks the candidate would do on the job. There are no leetcode-style general coding interviews. If you want to prepare for the interviews, we suggest getting familiar with the evaluations framework Inspect, or by building simple monitors for coding agents and running them on your own Claude Code / Cursor / Codex / etc. traffic.
Your Privacy and Fairness in Our Recruitment Process: We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI-powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. We adopt a human-centred approach: all resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at info@apolloresearch.ai.