Application deadline: We are conducting interviews actively and aim to fill this role as soon as we find someone suitable.
We're looking for Full-stack Software Engineers who are excited to build tools for frontier AGI safety research, e.g. building and maintaining evals libraries and tools for monitoring and controlling our own LLM traffic.
REPRESENTATIVE PROJECTS
Your main objective is to develop tooling for analyzing model evaluation results. Here is a list of features that you might build and ship in your first 6 months:
- LLM-powered search that finds interesting fragments in evaluation transcripts
- Comparison views that show how conversations and scores differ between two evaluation runs
- Ability to view and analyse conversations with coding agents (Cursor, Claude Code, etc.) in addition to evaluation transcripts
- Results streaming for evaluations that are currently being run
- Collaborative editing of evaluation logs that automatically updates metrics and other derived data.
Think of this as developing an "IDE for evaluations".
Besides this, here are example auxiliary projects which you might do:
- Automated evaluation pipelines to minimize the time from getting access to a new model for pre-deployment testing to analyzing the most important results and sharing them.
- LLM agents and MCP tools to automate internal software engineering and research tasks, with sandboxes to prevent major failures
- Telemetry API and instrumentation of our existing tools, allowing us to monitor usage and improve reliability
- Upstream improvements to the Inspect framework and ecosystem, e.g. support for evaluating modern agentic scaffolds.
KEY RESPONSIBILITIES- Balance between moving quickly and creating robust and performant software
- Lead the development of major features from ideation to implementation
- Support the entire user journey from running the evaluation to finding interesting results to analysing the results to producing reports and papers
- Make the software configurable and extensible, so that users can adapt it for their needs
- Collaboratively define and shape the software roadmap and priorities
- Establish and advocate for good software design practices, codebase health, and coding agent practices
- Work closely with researchers to understand what challenges they face
- Work closely with the product team to create solutions that satisfies both our researchers and external customers
KEY REQUIREMENTS- You must have experience writing production-quality Python and React code
- We value candidates from diverse backgrounds and recognise that candidates may demonstrate their skills in different ways.
For example, we might be impressed if you have:
- Led the development of a successful software tool or product over an extended period (e.g. 1 year or more)
- Started and built the tech stack for a company, e.g in a start-up
- Worked your way up in a large organisation, repeatedly gaining more responsibility and influencing a large part of the codebase
- Authored and/or maintained a popular open-source tool or library
- Placed in a prestigious programming competition (IOI, ICPC, etc.)
- 5+ years of professional software engineering experience
The following would be a bonus:
- Experience designing rich and intuitive UIs, especially for power usersDirect work with researchers or customers
- Experience working with LLM agents or LLM evaluations
- Interest in AI Safety
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.
LOGISTICS- Time Allocation: Full-time
- Location: This is an in-person role working out of our London or San Francisco office. We offer flexible working hours and wfh arrangements.
- Visa sponsorship: We sponsor visas in both the UK and US. Sponsorship isn't guaranteed for every role or candidate, but if we make you an offer, we'll work with you to find the right visa route.
BENEFITS- This role offers market competitive salary, equity, and competitive benefits.
- Salary: 100k - 200k GBP (~135k - 270k USD)
- Flexible work hours and schedule
- Unlimited vacation
- Unlimited sick leave
- Up to 6 months of paid parental leave
- Comprehensive health, dental and vision insurance
- Retirement savings with competitive employer matching (e.g. 401(k) for US employees)
- 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
ABOUT THE TEAM
The SWE team currently consists of Rusheb Shah, Andrei Matveiakin, Alex Kedrik, and Glen Rodgers. Beyond the SWE team, you will closely interact with the research scientists and engineers as the primary user group of your tools. You can find our full team here.
INTERVIEW PROCESS
Please complete the application form with your CV. The provision of a cover letter is optional but not necessary. 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. 2 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 working on hands-on LLM evals projects (e.g. as suggested in our starter guide), such as building LM agent evaluations in Inspect.
