Apollo Research - Full-stack Engineer (Product)
In OfficeMidEMEACloud ComputingDeveloper ToolsFull Stack EngineerTeam LeadFront-endJavaScriptTypeScriptReactFull Stack
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Requirements
- 3+ years experience as a Full Stack Engineer building production applications
- Strong proficiency in front-end development, e.g. JavaScript/TypeScript or ReactSolid
- 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 product, 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 products
- 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.
- WHAT YOU'LL ACCOMPLISH IN YOUR FIRST YEAR
- Develop and scale at least one monitoring product. We have an MVP of our AI agent safety & security monitoring product and now want to scale it from 0.5 to 1 and beyond.
- Build scalable, production-ready infrastructure for processing and analyzing AI agent trajectories, ensuring our systems can handle high throughput from our customers, in a secure and stable manner.
- Create intuitive visualizations and dashboards that translate complex AI safety metrics into actionable insights for technical (e.g. CISOs) and non-technical stakeholders alike.
- REPRESENTATIVE PROJECT
- AI agent real-time monitoring system: AI agents are already deployed at scale. Often they are not or only barely monitored, missing critical failures. The natural response to this is to build monitors that constantly scale agent outputs and alert developers and/or security teams about potential risks. We will cover hundreds of failure modes in AI safety and security and build out many kinds of monitors (e.g. hierarchical, ensembles, agentic).
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
Benefits
- This role offers market competitive salary, equity, and competitive benefits.
- Salary: 100k - 180k GBP (~135k - 245k USD)
- Flexible work hours and schedule
- Unlimited vacation
- Unlimited sick leave
- Lunch, dinner, and snacks are provided for all employees on workdays
- Paid work trips, including staff retreats, business trips, and relevant conferences
- A yearly $1,000 (USD) professional development budget
- Time Allocation: Full-time
- Location: The office is in London, and the building is next to the London Initiative for Safe AI (LISA) offices. This is an in-person role. In rare situations, we may consider partially remote arrangements on a case-by-case basis.
- Work Visas: We can sponsor UK visas
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