A well-funded AI engineering organisation is hiring a Software Engineer to work on a new AI framework built for stringent control and compliance in highly regulated sectors (financial services, healthcare). It's a core part of a broader high-assurance programme, designed to make AI systems safe to use where accuracy, explainability, and accountability are hard requirements — built in Rust for memory safety and performance, with mathematical proof of correct outputs, sandboxed execution, and intelligent filtering.
What you'll do
Design, build, and maintain core components of the framework using idiomatic Rust
Develop secure execution environments, multi-model validation pipelines, and filtering systems to prevent data leakage and policy violations
Use LLMs, AI agents, and coding copilots extensively to write, test, and refactor code
Architect systems that integrate safely with foundation models, meeting strict compliance and governance requirements
Review AI-generated code for security, performance, and correctness; build CI/CD optimised for AI-assisted workflows
Translate compliance protocols into production-ready software
What they're looking for
Proven Rust experience, strong systems programming and secure coding practices
Direct, high proficiency using LLMs/AI agents for development (e.g. Cursor, Copilot, autonomous coding agents)
Familiarity with enterprise AI deployment challenges (security, regulatory risk, auditability)
Strong debugging skills, optimising for latency, safety, and scalability
Nice to have: regulated-industry background (finance, banking, healthcare), formal verification/applied cryptography/verifiable compute, sandboxing tech (Wasm, VMs, containers), open-source Rust contributions.
If this role sounds interesting to you please reach out to Charles Duran.