Software Engineer

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.