Full Stack Engineer; Monitoring

Join to apply for the Full Stack Engineer (Monitoring) role at Apollo Research

Final date to receive applications:
We accept submissions until 16 January 2026. We review applications on a rolling basis and encourage early submissions.

Join our new AGI safety monitoring 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, monitoring engineers and Evals team software engineers to build tools that make AI agent safety accessible  are building tools 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 tools that genuinely make AI agents safer and you thrive in high‑paced environments and enjoy closely working with researchers.

• 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 performance.
• Talk to users to understand their use‑cases and needs.

• 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 users to integrate our tools into their workflows.
• Build monitoring and logging systems to ensure reliability and performance.

• Build intuitive user interfaces that help users 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 user data.

• Work side‑by‑side with our researchers and software engineers. We’re “our own customer” since our researchers use our tools.
• 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 monitoring team grow by sharing your own knowledge, offering thoughtful feedback and participating in trade‑off discussions.

• 3+ years experience as a Full Stack Engineer building production applications.
• Strong proficiency in front‑end development, e.g. JavaScript/Type Script or React/Solid.
• Python experience for backend development with frameworks like FastAPI, Flask, or Django.
• Experience designing RESTful APIs and working with databases, e.g. using SQL.
• Familiarity with cloud services and containerization technologies, e.g. Docker, AWS, Google Cloud.
• Strong problem‑solving skills and ability to learn new technologies quickly.

• Has taken a product from 0 to 1, from conception to production.
• Has been responsible for the development of a tool, e.g. leading engineer.
• Familiarity with ML/AI concepts or developer tools for AI applications.
• Experience with evaluation frameworks for AI systems.
• Previous work on developer tools or APIs, e.g. B2B SaaS tools.
• Experience building data streaming, data processing or observability tools.
• Experience building software for security use cases.

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.

• Develop and scale at least one monitoring tool. We have an MVP of our AI…