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We're seeking a highly skilled Software Engineer to work on Panopticon, a new AI framework equipped with stringent control and compliance protocols. Aimed primarily at highly regulated sectors such as financial services and healthcare, Panopticon is a core component of our High Assurance programme. It is designed to enable AI systems to be used safely in high-risk environments where accuracy, explainability, and accountability are a hard requirement.
Panopticon is written in Rust, leveraging its memory safety and performance characteristics to build a robust, secure infrastructure that provides mathematical proof of correct outputs, sandboxed execution, and intelligent filtering.
As an AI-first company, we strongly believe in collaborative engineering powered by the tools we are helping to build. This role places a major emphasis on using LLMs, AI coding assistants, and autonomous agents for software development.
Design, build, and maintain core components of the Panopticon framework using idiomatic Rust.
Develop secure execution environments, multi-model validation pipelines, and intelligent filtering systems to prevent data leakage and policy violations.
Extensively utilise LLMs, AI agents, and advanced coding copilots to write, test, and refactor code, actively seeking ways to accelerate feature development and deployment without compromising on quality.
Architect systems that integrate safely with foundation models and user environments, ensuring strict compliance and governance frameworks are adhered to.
Review AI-generated code for security, performance, and correctness, establishing CI/CD pipelines optimised for AI-assisted workflows.
Collaborate with CommonAI’s members to translate theoretical compliance protocols into production-ready software.
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Cambridge, GBR
Cambridge, GBR
Cambridge, GBR
Cambridge, GBR
Cambridge, GBR
Cambridge, GBR
Cambridge, GBR
Background in highly regulated industries such as financial services, banking, or healthcare.
Familiarity with formal verification, applied cryptography, or verifiable compute.
Experience with sandboxing technologies (e.g., WebAssembly/Wasm, lightweight VMs, containers).
Understanding of modern AI tooling, foundation model APIs, and deployment pipelines.
Contributions to open-source Rust projects or AI development tools (please include links to relevant projects, GitHub repositories, or technical blogs in your application).
Ideally, you will have a background in building critical infrastructure, combined with a forward-looking mindset eager to push the boundaries of AI-assisted engineering.
Verified company details for this employer are not available yet.
Full-time
Mid
Onsite
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