AI/ML Engineer for Autonomous Pentesting
vor 13 Stunden
Company Description
SQUR is building Europe's leading
fully autonomous pentesting platform
, redefining how cybersecurity is delivered.
Our mission is to help organizations — especially those with limited security resources — achieve continuous protection without waiting weeks for human testers.
By combining
AI agents
,
security expertise
, and
deterministic exploit automation
, SQUR delivers faster, more consistent, and more transparent results than traditional approaches.
We're a lean, fast-moving team in Karlsruhe, Germany, backed by strong partners and focused on making autonomous security a European strength.
Role Description
We're looking for a
Founding AI/ML Engineer
to design and build the intelligence behind SQUR's autonomous pentesting agents.
This is a full-time role based in
Karlsruhe (preferred)
or
remote within Germany
.
Scope
- Own the agent system end-to-end: planning, tool arbitration, memory, recovery, and long-running job control.
- Build and operate ML pipelines for data curation, labeling, evaluation, training, and deployment.
- Fine-tune and integrate LLMs for reliable tool use, reasoning, and remediation guidance.
- Drive reliability at scale: retries, fallbacks, circuit breakers, stateful progress, and cost/latency optimization.
- Define verification signals (model confidence, evidence quality, chain validity) and feed them back into planning and action.
- Harden safety and isolation: sandboxing, tool isolation, and orchestration designed for real targets.
- Set engineering standards, telemetry, and evals; mentor the team toward measurable end-to-end outcomes.
Collaboration
Partner with offensive security researchers to translate exploit workflows into safe, deterministic agent behaviors, and with product to deliver compliance-ready outputs.
Qualifications
- 5+ years
building production ML/agent/back-end systems with verifiable impact (open source, papers, talks, or shipped products). Familiarity with agent frameworks (e.g., LangGraph/LangChain) and structured evals for agents. - Expert Python
for production systems: orchestration, async/state machines, containers, packaging, and testing. - LLM & agent expertise
: tool-use/function-calling, planning, retrieval, and fine-tuning in production. - Reliability & scale
: resilient execution (retries/fallbacks), cost/latency optimization, observability, and SLIs/SLOs. Eligible to work in
Germany
(Karlsruhe preferred; remote in DE possible).Nice to have:
- AI-native mindset; experience with offensive security workflows or scanners (e.g., ZAP/Burp/Nuclei) is a plus.
- Experience with
GCP/Kubernetes/Cloud Run
, containers, queues, and distributed execution.
What you get
- Founder-level equity
— significant ownership in Europe's autonomous pentesting leader. - Modest salary
(we build big, not pay big — yet). - A great early-access platform and a clear mission: deliver consistent, better-than-human results.
- A
hands-on, high-intensity environment
, with 60-hour sprints when it counts. - Direct, visible
impact on the future of cybersecurity
— your research becomes production reality.
Join Us
If you want to build the next generation of autonomous security — where
AI agents hack responsibly and continuously
— we'd love to talk.
Apply now and help us make our autonomous pentesting the best in class.
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