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Refractal

Security Engineer (AI Red Team)

London
£65k – £125k/yr
Posted about 21 hours ago
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About Refractal

Refractal is an AI security company building the infrastructure organisations need to defend against autonomous AI threats. 2026 has shown that generally capable intelligence is here. The challenge now is modernising security to stop AI-enabled threats, whether they come from internal agents going rogue or from attackers using AI to become more dangerous.

Refractal was founded on cybersecurity and AI expertise from MIT, Microsoft, NASA and the U.S. Navy. Our product lets organisations detect AI-enabled threats at low cost without sacrificing detection quality. We take a practical approach to AI risk, combining proven cybersecurity methods with frontier AI security research.

Today, we work with governments and organisations that can't afford to get security wrong. We're backed by leading deep-tech and cybersecurity investors and are growing the team to deliver on this mission.

The role

You'll test how deployed AI systems and agents fail under adversarial pressure. You'll run authorised, controlled security assessments, show what each finding means in practice, and work with our engineering and research teams to turn findings into stronger defences and repeatable tests.

What you'll do

  • Design and execute assessments of AI applications and agents, grounded in realistic attacker goals and clearly defined test scope.
  • Test realistic threats such as indirect prompt injection, misuse of connected tools, sensitive data exposure and attempts to cross permission boundaries.
  • Build reproducible test cases and small testing tools that demonstrate security impact and distinguish reliable failures from one-off outputs.
  • Analyse how model behaviour, application design, identity and permissions combine to create vulnerabilities.
  • Document findings, recommend practical mitigations and retest fixes with the engineers responsible for the affected systems.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Success in your first six months

  • You've established a repeatable assessment approach that connects realistic adversaries, test scenarios and security outcomes.
  • You've produced actionable findings with reproducible evidence and helped validate the resulting fixes.
  • You've built a growing set of regression tests that captures recurring failure modes and checks whether fixes hold.

About you: essential

  • Hands-on experience in offensive security, application security testing or adversarial testing of AI systems.
  • A solid understanding of web applications, APIs, authentication, authorisation and common security failure modes.
  • An understanding of how AI applications use prompts, retrieved information, memory and connected tools, and where trust boundaries arise.
  • The ability to write code that automates testing, reproduces findings and inspects application behaviour.
  • Good judgement around test scope and sensitive data, and the ability to explain technical findings in terms of practical impact.

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Nice to have

  • Experience assessing LLM applications, agent workflows or systems that retrieve external content.
  • Experience building security evaluation suites or testing proposed mitigations systematically.
  • Experience combining application testing with cloud, identity or infrastructure security assessment.

Our values

  • Radical transparency. We believe the best work happens when everyone feels able to give and receive honest, constructive feedback.
  • Public service. We see AI security as a form of public service. Getting the AI transition right means putting the right infrastructure in place to manage the threats that come with it, and our work helps protect the institutions and services society depends on.
  • Fail fast. We test ideas early, seek feedback and learn quickly. We experiment rapidly and change course when something isn't working, without compromising on security.
  • Pragmatism, not dogmatism. We choose approaches based on how well they solve the problem. That means combining established cybersecurity methods with frontier AI research, questioning our assumptions, and changing our minds when the evidence changes.

Compensation and benefits

  • Salary: £65,000–£125,000
  • Competitive equity to share in Refractal's growth
  • Pension contribution
  • Private medical and dental cover
  • Visa and relocation support
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Location

London, England, United Kingdom

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