AI role · Open offer

AI Security Engineer — LLM red teaming

Market index

Focus: AI Platform

Paris · 200-500 employees · Scale-up · GenAI: Yes

Freelance
Full-time
Senior
Trust & safety engineering
Remote
Remote · EU
Germany
€85k–€115k remote EU

This listing is optimized for AI-native talent: clear skills and tools so candidates know if they fit before they apply—and so you spend less time screening mismatches.

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At a glance

How you'll work, where, and key listing dates.

Employment: Freelance, Full-time
Workplace: Remote
Location: Remote · EU
Compensation: €85k–€115k remote EU
Experience level: Senior
Team: Trust & safety engineering
Benefits & perks

About this role

What the team is looking for and how this position fits.

Hugging Face is hiring a Senior AI Security Engineer — LLM red teaming on the Trust & safety engineering team (Remote · Germany). This is a hands-on role in LLM & generative AI—not a generic “AI enthusiast” post.

You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.

Remote-first EU team systematically pressure-tests customer copilots—RAG injections, tool escalation, and data exfil paths. You will pair with blue teams to close findings fast.

Occasional travel to client sites in Benelux/Germany for joint war games.

What you will do

Maintain jailbreak taxonomies and reproducible harnesses in CI.
Coordinate disclosure timelines with customers and internal product teams.
Develop lightweight fuzzers for prompts, attachments, and OAuth-linked tools.
Train PM/Eng on secure-by-default patterns for new features.
Track emerging academic and OSS attack research for proactive coverage.

What we look for

Hands-on offensive or app-sec background plus Python engineering depth.
Prior testing of LLM surfaces; ability to document PoCs clearly.
Comfort with GDPR and contracting constraints in customer environments.

Nice to have

Purple-team facilitation experience.
CTF or bug-bounty track record.

Skills we're hiring for

What each capability means for this role—not a keyword checklist.

Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
Cybersecurity
Practical Cybersecurity experience applied to LLM features, retrieval, agents, and evaluation in production or rigorous pilots.

Tools & stack

Platforms and products mentioned for this role (APIs, IDEs, vector DBs, CRMs, design tools, etc.).

AWSTool
Regular use of AWS in the LLM & generative AI stack—configuration, debugging, and team conventions.
DockerTool
Containerized services and reproducible dev environments for ML and LLM workloads.

You're a strong fit if…

Tailored to this listing—use it as a self-check before you apply.

You can show evidence in your application: One paragraph on your methodology for reproducible jailbreak suites.
Several of these show up in recent shipped work—not only on your CV: Python, Cybersecurity, AWS, and Docker.
You have owned LLM features, retrieval, agents, and evaluation in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You communicate clearly in writing, document decisions, and can overlap with the team’s core hours for pairing and incident response.
You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.
You read the full listing (comp: €85k–€115k remote EU, benefits in At a glance) and your expectations align.

Apply

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What the employer asked for

One paragraph on your methodology for reproducible jailbreak suites.

Register, add a headline and bio, then you can attach a CV link or PDF on My account before you apply. That keeps applications tied to your profile and makes it easier for employers to review your background.

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