Full Stack Engineer, Monitoring
Listed on 2026-01-13
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Software Development
Software Engineer, AI Engineer, Full Stack Developer
Final date to receive applications
We accept submissions until 16 January 2026. We review applications on a rolling basis and encourage early submissions.
The opportunityJoin 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 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.
Key responsibilitiesTool 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. React) to scalable back‑end services in Python.
- Write clean, well‑tested, maintainable code that meets high standards for security and performance. Talk to users to understand their use‑cases and needs.
Back‑end development
- Design and implement scalable back‑end 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.
Front‑end development
- Build intuitive user interfaces that help users understand and act on AI agent safety & security evaluations.
- Develop interactive data visualisations that effectively communicate complex AI behaviours, e.g. hour‑long coding agent trajectories.
- Ensure responsive design and cross‑browser compatibility for users.
- Implement authentication, authorisation and other security measures to protect sensitive user data.
Collaboration & communication
- Work side‑by‑side with 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 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.
- Python experience for back‑end development with frameworks like FastAPI, Flask or Django.
- Experience designing RESTful APIs and working with databases, e.g. SQL.
- Familiarity with cloud services and containerisation 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.
- Develop and scale at least one monitoring tool. We have an MVP of our AI agent safety & security monitoring tool and now want to scale it from 0.5 to 1 and beyond.
- Build scalable, production‑ready infrastructure for processing and analysing AI agent trajectories, ensuring our systems can handle high throughput from users in a secure and stable manner.
- Create intuitive visualisations and dashboards that translate complex AI safety metrics into actionable insights for technical (e.g. CISOs) and non‑technical stakeholders alike.
AI agent real‑time monitoring system. AI…
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