Agentic Security Engineer
Baut die Sicherheitsschicht für autonome Agenten: Isolation, nachvollziehbare Ausführung, manipulationssichere Events und abgesicherte CI/CD-Pipeline.
Baut die Sicherheitsschicht für autonome Agenten: Isolation, nachvollziehbare Ausführung, manipulationssichere Events und abgesicherte CI/CD-Pipeline.
About Black Forest Labs We’re the team building the foundational layer for visual intelligence: multimodal models trained jointly on images,
Entwickelt Fine-Tuning- und Post-Training-Pipelines sowie Inferenzbeschleunigungsverfahren für große Modelle und optimiert sie auf eigener Hardware.
will include: - Design and deliver end-to-end AI solutions, from proof of concept to production.
This role is foundational data science: building the foundations of tabular foundation models so a single model can solve data-science problems across the board.
Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
As an AI Engineer, with focus on A/ML-Ops, you ll collaborate closely with our product and tech team to bring AI-driven features reliably in
We are seeking a Senior ML Data Processing Developer to participate in the development, curation, and scaling of our core data asset pipeline.
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute.
What we build Most companies find out about supplier insolvencies, cyber attacks, factory fires or floods that affect their supply chain whe
Own and Evolve Our Infrastructure – You take ownership of our AWS and Hetzner environments and evolve them further – everything as Infrastru
Data Scientist DEPT®/AI has a single mission: to make the best work in the industry using AI to enhance everything we do.
Begleitet Kunden von der KI-Strategie bis zur Produktivsetzung, entwirft Architekturen, baut Prototypen und verantwortet Pilotprojekte mit Mistral-Modellen.
Entwirft und deployt KI-Lösungen bei Industriekunden, von der Roadmap bis zur Produktion, inkl. Physik-KI-Pipelines.
As a Senior Software Engineer specializing in the AI & ML ecosystem, you ll be a core contributor owning and evolving critical parts of Clic
As an AI Deployment Strategist with Science Focus, you will drive the adoption and deployment of Mistral s AI solutions for science-heavy pr
You’ll be responsible for onboarding customers on our products, providing guidance on deployment and integration, and ensuring the best prod
Entwirft und deployt KI-gestützte Cybersecurity-Lösungen bei Kunden, von Workshops mit CISOs bis zur Produktion, zusammen mit dem Applied-AI-Team.
Entwickelt und betreibt Backend-Services und APIs, die KI-Modelle und Inference-Systeme in ClickHouse-Produkte integrieren.
What to expect We are a startup digital agency, and no two projects, clients, or even days look the same.
Betreut Enterprise-Kunden technisch auf der Decision-Plattform, löst Probleme und automatisiert Support-Abläufe mit KI.
We are seeking a highly skilled and experienced Scientist II Machine Learning Engineer to design, develop, and deploy cutting-edge AI solutions.
Entwickelt Stromrichter der Leistungselektronik und nutzt Deep-Learning-Modelle zur Optimierung von Magnetik, Topologien und Regelung.
About the Job As a key growth accelerator, A11 partners with Europe’s most ambitious startups and scaleups, corporates and SMBs to connect t
Build the Market Leader in Satellite Analytics with us at LiveEO Mission of this position (overall summary of the purpose, some comments abo
You will build and iterate on internal tools and products, integrating AI capabilities into our systems.
Warum dieser Job gelistet ist
Die Rolle ist eine Security-Backend-Stelle, aber der Agenten-Bezug steht in Titel und Kernaufgaben (Ausführungsmodell, Agent Execution Guarantees); LLM-Sicherheit ist nur Nice-to-have, daher nur B.. Prüfverfahren ansehen
System Integrity Layer & Threat Modeling — Design the core execution model that governs how autonomous agents run, interact, and modify system state. - Proactive Threat Modeling — Conduct continuous, code-level threat modeling across our distributed networks to identify structural vectors, memory leakage, prompt manipulation, and authorization bypasses before a single line hits staging. - Auditability as a Native Property — Build append-only, tamper-resistant event systems that make every action reconstructable without relying on external logging frameworks or reactive audit tooling. - Isolation, Trust Boundaries, & Adversarial Testing — Engineer strict execution and data isolation layers between agents, users, and workflows in a multi-tenant infrastructure. - Continuous Offensive Testing — Run active internal pentesting, adversarial chaos testing, and targeted red teaming exercises against our own infrastructure to aggressively expose flaws in isolation barriers and cryptographic verification boundaries. - Agent Execution Guarantees — Ensure all automated, agentic accounting processes are strictly attributable, deterministic where required, verifiable in hindsight, and unalterably constrained by explicit system rules. - Robust Engineering & Pipeline Security — Architect and refine our internal software delivery pipeline to guarantee absolute integrity from code commit to production deployment. - Build deterministic verification mechanisms into the CI/CD pipeline, ensuring that all third-party dependencies, agent libraries, and compiled services are cryptographically signed, scanned, and secure by default. - Compliance Through Architecture — Translate complex regulatory and audit requirements directly into low-level system constraints, completely eliminating the need for reactive operational processes or manual review workflows.
Experience: 5+ years designing production backend platforms and distributed systems design. - Database experience: Deep schema design, RLS, and event-sourcing database expertise. - Security Architecture: Practical application-level security, encryption models, key management, and auth patterns. - Adversarial Mindset: You naturally think like an attacker to uncover race conditions, logic flaws, and vulnerabilities. - Policy-as-Code: Hands-on experience with Cerbos, OPA, Cedar, or similar. - Domain knowledge: You ve owned real breadth of the security stack, not one narrow slice of it. You understand what securing mission-critical enterprise software at large scale demands. Regulated industries (fintech, banking, insurance) are a plus, but end-to-end ownership counts for more than time spent inside a large org.
Cryptographic primitives - Event streaming (Kafka/Redpanda) - Kubernetes and cloud-native architecture knowledge - LLM/agentic system security exposure (prompt injection defense, guardrails, agent threat modeling)—relevant to our product surface, but a plus on top of the backend and security fundamentals above, not a substitute for them.
In this role, you will design and build the System Integrity Layer, establishing the foundational platform primitives that guarantee every agent action is isolated and attributable, every execution is traceable, every state transition is verifiable, and every software release satisfies strict security constraints by construction. This is a hands-on backend security engineering role where security, threat resilience, and compliance are natural outcomes of brilliant system architecture, not separate, bureaucratic processes. We are looking for a builder, not a governance operator—someone who treats trust guarantees as core system properties designed directly into the database and application layers from day one.
Architecture or technical-leadership experience is fine, even welcome, as long as it comes with real hands-on depth you can point to—specific systems you designed and built—rather than process, documentation, or audit-standardization work alone.
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur Originalanzeige