AI Engineer for Autonomous Pentesting

AI Engineer for Autonomous Pentesting

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 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 improve the agents that do the real work, primarily using langgraph.
• 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.

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 Machine Learning, AI Agents, 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.
• LLM & agent expertise : tool-use/function-calling, planning, retrieval, and fine-tuning in production.
• Reliability & scale : resilient execution (retries/fallbacks), cost/latency optimization, observability.
• Eligible to work in Germany (Karlsruhe preferred; remote in DE possible).
• Nice to have:
• Security knowledge ; experience with pentesting, 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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