At a Glance
- Tasks: Design and build a cutting-edge AI framework using Rust for secure and compliant systems.
- Company: Well-funded AI engineering organisation focused on high-assurance programmes.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting challenges and career advancement opportunities.
- Why this job: Join a mission to make AI safe and impactful in regulated sectors like finance and healthcare.
- Qualifications: Proven Rust experience and strong skills in secure coding and systems programming.
The predicted salary is between 63000 - 77000 £ per year.
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.
Software Engineer in Cambridge employer: Intellectual Capital Resources
Join a dynamic and innovative audio AI product company that prioritises employee growth and collaboration in a fully remote environment. With a strong focus on cutting-edge technology and a culture of mentorship, you'll have the opportunity to work alongside talented professionals while contributing to impactful projects that enhance sound experiences globally. Enjoy the flexibility of remote work, competitive benefits, and a commitment to fostering a supportive and inclusive workplace.
Contact Details:
Intellectual Capital Resources Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer in Cambridge
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Intellectual Capital Resources or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
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We think you need these skills to ace Software Engineer in Cambridge
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Intellectual Capital Resources.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Intellectual Capital Resources and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Intellectual Capital Resources
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Intellectual Capital Resources uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
