AI Security Engineer (m/f/n)

Beyond research, the team designs and implements detection mechanisms and translates these defenses into shipping products across endpoint, cloud, and standalone form factors.

As a Conversational AI Security Engineer, you bridge adversarial research and production engineering — building detection mechanisms to defend conversational AI systems and shipping those defenses as products. Your work spans the full lifecycle, from breaking models to running detection in production.

About the Role 

• Research attacks against conversational AI systems — exploring, probing, and breaking them to discover vulnerabilities before adversaries do. 
• Design and propose mitigations, protections, and detection strategies based on findings from adversarial research.
• Build a multilayered detection core, combining different approaches toidentifymalicious prompts andattemptsto manipulate AI systems.
• Productize detection capabilities — packaging anddeploying themacross endpoint, cloud, and standalone environments.
• Collaborate with the broader threat detection department, product teams, and endpoint teams to integrate defenses into shipping security solutions.
• Evaluate and experiment with open-source and proprietary AI tooling to stay current with the rapidly evolving attack surface.
• Shape the team's technical direction andmethodologyas a founding member, with the opportunity to grow into a Team Lead role over time.

Essential Requirements

• Strong software engineering background — ability to build production systems, not just prototypes.

• Proficiencyin Python for building detection and security tooling.

• Understanding ofhow large language models work and how they can be manipulated or attacked, including prompt injection, jailbreaking, and adversarial inputs.

• Ability to work independently in a newlyformingteam with minimal defined processes.

Desirable Requirements

• Experience with machine learning and AI, including fine-tuning and deploying language models.

• C++ for performance-critical detection components.

• Background in cybersecurity or threat research.

Technologies

Python, C++,PyTorch, TensorFlow, Hugging Face, scikit-learn,vLLM,Ollama, ONNX, Docker, Kubernetes, AWS, Hadoop, Spark, Kafka, OpenClaw,OpenCode, Git, JIRA, Confluence

Compensation

Basic wagecomponent(brutto):from2800 EUR/m. (brutto)

*The final basic wagecomponentcan be increasedaccordingly to individual skills and experience of the selected candidate.
* Performance bonus 2 times per year up to10% of the basic salary paid for the evaluationperiod(usually 6 months).

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