AI/ML Engineer for Autonomous Pentesting

vor 2 Wochen

BadenBaden, Baden-Württemberg, Deutschland SQUR Vollzeit

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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