Responsibilities
- Lead CB's engineering team — set technical direction, define engineering standards, and own the roadmap for shared infrastructure, tools, and components used across CB's research projects.
- Line-manage a small number of engineers — provide regular support, feedback, and development guidance to direct reports (expect 1–3 reports as the team grows).
- Design and build reliable systems — architect and deliver the core platform that enables researchers to run experiments and ship results quickly, including LLM-based agent systems, evaluation frameworks, and supporting infrastructure.
- Work closely with researchers — translate varied research needs across general agents, science agents, chemical and biological models and other CB workstreams into well-engineered, maintainable systems.
- Hire and grow the team — run hiring pipelines for future engineering roles, contribute to interview design and candidate assessment, and help shape what great engineering talent looks like at AISI.
- Shape engineering culture— establish ways of working, code quality standards, and development practices for a growing engineering team embedded in a research-heavy environment.
- Represent CB engineering across AISI — coordinate with Core Technology and other engineering teams to share tooling, align on infrastructure, and avoid duplication.
Requirements
- Significant experience writing production-level Python code that is scalable, robust, and easy to maintain, with a track record of leading technical work in a team.
- Strong infrastructure and platform skills — experience with cloud environments (AWS), container orchestration (Kubernetes), and job scheduling (Slurm or similar).
- Demonstrated experience leading or managing engineers — whether through formal line management, tech-leading a team, or running hiring pipelines. You don't need to have done all three, but you should be comfortable with at least one and keen to grow into the others.
- Familiarity with the AI/ML ecosystem: OpenAI-compatible APIs, PyTorch, and the tooling around LLM-based systems.
- Ability to work across multiple teams, understanding varied research needs and delivering reliable engineering solutions.
- A sense of mission, urgency, and responsibility for success: Demonstrated ability to solve challenging problems, implement solutions efficiently and acquire any missing knowledge necessary to get the job done.
- Motivated to build software with direct policy impact.
- Strong communication skills, with the ability to work effectively in a dynamic, multidisciplinary team environment.
Nice to Have
- Experience working in a research environment — you don't need to be a researcher, but you should be comfortable working alongside them and translating ambiguous research requirements into engineering plans.
- Familiarity with computational biology tools, workflows, or datasets.
- Experience building or maintaining internal developer platforms, shared libraries, or CI/CD systems for technical teams.
Work Arrangement
Hybrid
Team
Team size: small. Structure: dedicated engineering function within the CB team
Additional Information
- Appointment is conditional on successfully completing UK Government SC clearance. Prior clearance is not required—we will sponsor and support you. You should normally have been resident in the UK for the past 5 years. You may also be required to undergo Developed Vetting (DV). DV typically requires a longer period of UK residency (around 10 years). Employment is conditional on obtaining and maintaining the required clearance(s).
- You should be able to spend at least 9 days per fortnight working with us.
- You should be willing to work from our office in London (Whitehall) at least 3 days/week.
- You should be UK-based.
