
Capital.com · Limassol
We are looking for an AI Security Engineer to secure our AI-driven systems, including LLM-based applications, machine learning models, and AI-enabled automation...
We are looking for an AI Security Engineer to secure our AI-driven systems, including LLM-based applications, machine learning models, and AI-enabled automation tools.
This role will focus on identifying, assessing, and mitigating security risks across the AI lifecycle — from model development and training to deployment and runtime monitoring.
The ideal candidate combines strong security engineering experience with a deep understanding of machine learning systems and emerging AI-specific threats (e.g., prompt injection, model poisoning, data leakage, adversarial attacks).
Start: Immediately | Level: Senior | Location: Germany, remote | Working hours: Full time (40h/Week) As an AI Security Engineer(gn) , you play a key role in enabling the secure adoption of Artificial Intelligence across the organization. You are responsible for securing AI systems, Generative AI solutions, LLM-based workflows, AI-powered tools, and the integration of external AI services. Acting as the central point of contact for AI Security, you define security standards, conduct architecture and risk assessments, and develop technical and organizational safeguards to mitigate risks. You also drive the automation of security controls and governance processes while supporting teams across the business in the secure and compliant use of AI technologies. YOUR MISSION * You advise on and assess internally developed and externally sourced AI systems, Generative AI applications, LLM-based workflows, and agentic AI solutions from a security perspective * You conduct AI threat modeling, risk assessments, security reviews, and architecture assessments for software, cloud, and AI environments * You develop and implement Secure AI-by-Design and Security-by-Default principles and define security requirements for AI-powered systems * You identify and assess risks such as prompt injection, jailbreaking, data leakage, model poisoning, adversarial attacks, and insecure agent integrations, and develop appropriate mitigation strategies * You perform AI red teaming, technical security assessments, and reviews to strengthen the security of LLM platforms, agentic AI solutions, and AI service integrations * You build automated security controls and integrate AI security checks into DevSecOps, CI/CD, and MLOps processes * You establish monitoring and detection capabilities for AI applications and collaborate with Security Operations teams to investigate security events and abuse patterns * You advise engineering, product, and business teams on the secure use of AI and support the rollout of new AI solutions through training, standards, and best practices YOUR EXPERIENCE & SKILLS * You hold a degree in Computer Science, Cyber Security, Information Security, or a comparable qualification * You have several years of experience in Security Engineering, Application Security, Cloud Security, or a related Cyber Security field * You have hands-on experience with Generative AI, Large Language Models (LLMs), modern AI platforms, and cloud technologies such as Azure, AWS, or Google Cloud * You have experience with threat modeling, security assessments, architecture reviews, and modern DevSecOps, CI/CD, or MLOps practices * Knowledge of AI security frameworks and standards such as the OWASP Top 10 for LLM Applications, MITRE ATLAS, NIST AI RMF, or similar approaches is a plus * Ideally, you have experience with AI Red Teaming, RAG architectures, vector databases, agentic AI concepts, or regulatory frameworks such as ISO 27001, NIS2, and the EU AI Act * You combine strong analytical thinking and a security-first mindset with a structured and solution-oriented approach to work * You are an effective communicator who can explain complex technical topics to both technical and non-technical stakeholders * You are fluent in German and English, both written and spoken WHY CHOOSE US? Being part of our team means joining a high-performing company with a diverse and inclusive culture. In our fast-growing team of over 1,200 employees, we combine our passion for sports nutrition, supplements, and healthy foods with cutting-edge technology, production, and logistics processes. All of this serves one goal: providing our customers with top-quality products to support their healthy and active lifestyle. You can look forward to a strong sense of team spirit, ongoing opportunities for professional growth and responsibility, and an exciting work environment that blends lifestyle and career. With locations in Hamburg, Elmshorn, Kaltenkirchen/Nützen, and Elsdorf, TQG offers diverse career opportunities in areas such as technology, product development, sales, marketing, and logistics. Additionally, you’ll benefit from: * Flexible working hours and remote work options * Attractive employee discounts * Subsidy for the E-gym Wellpass * Workation * Corporate benefits * 28 days vacation/year * and much more ABOUT US The Quality Group (TQG) is an innovative provider of sports nutrition products, bringing together the successful brands ESN and More Nutrition since 2021. ESN has been the German market leader in sports nutrition since 2004, offering products like protein powders, bars, and supplements designed for ambitious fitness goals. Founded in 2017, More Nutrition focuses on healthy, reduced-sugar foods, providing solutions for conscious nutrition and weight management without compromise. TQG’s vision is to help people become the best version of themselves. With passion and innovation, the company develops high-quality products that promote health, performance, and joy in life. Its agile company culture and exciting career opportunities make TQG a strong partner not only for customers but also for employees. This is us – The Quality Group – nice to meet you! Now it’s your turn! We look forward to your application! Regardless of gender, age, background, or identity – what matters to us is who you are and what you bring to the table. Join our team and grow with us!
Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease. The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured starting with better and faster drug discovery. Come and be part of an interdisciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring and collaborative culture. The world we want tomorrow is the one we’re building today. It starts with the culture at this company. It starts with you. ABOUT ISO Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed. Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI’s powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world’s most devastating diseases. We have built a world-leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities. We are continually innovating on model architecture and developing cutting-edge capabilities to advance rational drug design. Every day, and with each new breakthrough, we’re getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI. YOUR IMPACT As a Senior AI Security Engineer at Isomorphic Labs, you will operate at the absolute frontier of Artificial Intelligence and Cybersecurity. Reporting directly to the CISO, your mission is to architect, secure, and future-proof our pioneering AI-first platform and autonomous agentic workflows that drive the next generation of drug discovery pipelines. In this high-impact role, you will design custom risk management frameworks tailored to the unique threat landscape of AI in life sciences, establish strict governance over critical model artifacts, and embed seamless security controls directly into distributed training and inference infrastructure. You will serve as the technical anchor bridging machine learning engineering, platform architecture, and adversarial defense. Operating in a fast-moving, high-stakes environment, you will lead AI-specific incident response and pioneer model-driven defense mechanisms to automate threat hunting and mitigation. Your work will ensure that breakthrough scientific research is paired with an uncompromising, resilient defense safeguarding invaluable intellectual property while accelerating our innovation velocity. WHAT YOU WILL DO * Adversarial Threat Modeling: Conduct cutting-edge threat modeling focused on AI/ML vulnerabilities, engineering a comprehensive risk management framework tailored to an AI-powered life sciences platform. * Model Artifacts Protection: Partner with AI teams to establish a granular inventory, classification and protection framework for ML models’ weights, code, and training data. * Agentic AI & LLM Guardrails: Design and deploy scalable guardrails, robust sandboxing, and real-time monitoring controls for our extensive LLM ecosystem, including ADK, MCP, and autonomous agentic workflows. * Collaborative Security Engineering: Partner with ML researchers and platform engineers to design and implement robust security controls across the entire ML lifecycle—from data ingestion and training pipeline integrity to inference runtime controls. * Model-Driven Incident Response: Act as the primary technical expert for AI security incidents, deploying advanced machine learning techniques to automate threat hunting, anomaly detection, and signatureless mitigation specific to LLMs. * Compliance & Governance Automation: Bridge the gap between complex AI architectures and emerging global regulations (e.g., EU AI Act) by automating risk posture monitoring and continuous compliance metrics. * AI Safety Frameworks: Pioneer the practical implementation of Isomorphic Labs' AI Safety standards, working in close coordination with Legal, Compliance, and external partners like Google DeepMind. SKILLS AND QUALIFICATIONS ESSENTIAL * AI/ML Engineering: Deep conceptual and practical understanding of deep learning frameworks (e.g., JAX, PyTorch, TensorFlow), large-scale cloud training or inference infrastructure, and LLM ecosystems. * Adversarial ML Mindset: Strong familiarity with AI security threat vectors (prompt injection, model inversion, data poisoning) and frameworks like OWASP Top 10 for LLMs or MITRE ATLAS. * Agentic Frameworks Security: Proven experience securing agentic frameworks (ADK, MCP), agentic first infrastructure and implementing robust agent-to-agent (A2A) identity and access controls. * Infrastructure Security: Solid proficiency in cloud platform security (GCP preferred), including container security, multi-cloud/SaaS integrations, and strict network isolation boundaries. * Pragmatic Risk Assessment: Proven ability to define and execute pragmatic mitigation strategies that balance a rigorous security posture with the high-velocity needs of a world-class scientific research organization. * Software Development & Automation: Ability to write production-grade code (Python preferred) to build custom security tooling, automate telemetry collection, or enforce policy layers. * Translational Communication: Exceptional skills in navigating ambiguity, building trusted relationships with AI researchers, and clearly translating complex machine learning risks into actionable engineering tasks for leadership. NICE TO HAVE * AI Red Teaming: Experience conducting empirical vulnerability research or executing simulated attacks against LLMs, agent networks, and core ML backends. * Regulated Environments: Prior exposure to BioTech, Pharma, and/or Deep Tech industries where data integrity, intellectual property protection, and regulatory compliance (GxP) are paramount. * Education & Background: BSc, MSc, or PhD in Computer Science, Machine Learning, Cybersecurity, or a related quantitative field. * Advanced Certifications: Relevant security or cloud credentials (e.g., OSCP, Professional Cloud Security Engineer) or specialized training in ML security. CULTURE AND VALUES We are guided by our shared values. It's not about finding people who think and act in the same way. These values help to guide our work and will continue to strengthen it. Thoughtful Thoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day. Brave Brave at Iso is about fearlessness, but it’s also about initiative and integrity. The scale of the challenge demands nothing less. Determined Determined at Iso is the way we pursue our goal. It’s a confidence in our hypothesis, as well as the urgency and agility needed to deliver on it. Because disease won’t wait, so neither should we. Together Together at Iso is about connection, collaboration across fields and catalytic relationships. It’s knowing that transformation is a group project, and remembering that what we’re doing will have a real impact on real people everywhere. CREATING AN EXTRAORDINARY COMPANY We believe that to be successful we need a team with a range of skills and talents. We're building an environment where collaboration is fundamental, learning is shared and every employee feels supported and able to thrive. We value unique experiences, knowledge, backgrounds, and perspectives, and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. HYBRID WORKING It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you’re in). If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through these if you’re selected for an initial screening call. Please note that when you submit an application, your data will be processed in line with our privacy policy. >> Click to view other open roles at Isomorphic Labs
About Irregular Irregular is the first frontier security lab with the mission of protecting the world in the time of increasingly capable and sophisticated AI systems. We build next-generation defenses through high-fidelity research platforms that simulate and monitor real-world AI security scenarios. As AI systems become more powerful, we focus on staying ahead of emerging threats and vulnerabilities, ensuring these transformative technologies can be deployed safely and securely. About the Role We’re looking for a Security Engineer to help architect and scale Irregular’s security foundations as we grow, working closely with our CISO to execute the security roadmap. This is a high-impact, hands-on, role designing security from the ground up across cloud infrastructure, identity, application security, monitoring, and internal security operations. You’ll partner with exceptional engineers and security researchers and help shape Irregular’s long-term security strategy Representative Responsibilities: * Build, deploy and own Irregular’s security infrastructure and internal security operations * Design and maintain security controls across cloud infrastructure, SaaS applications, and internal systems * Partner closely with Engineering to improve security across platforms, infrastructure, and development workflows * Develop and improve security monitoring, alerting, vulnerability management, and incident response processes * Manage identity and access systems and access control policies * Manage endpoint MDM (Mobile Device Management) and laptop devices. * Lead security and compliance initiatives such as SOC2, ISO27001, or similar frameworks * Establish and maintain company-wide security policies, standards, and best practices * Evaluate, implement, and manage security technologies and tooling * Serve as the security subject matter expert across the company * Help drive a strong security culture across teams You may be a good fit if you have: * Strong experience in Security Engineering, Security Operations, or Infrastructure Security * Deep understanding of modern security frameworks including Zero Trust, identity management, endpoint protection, cloud security, Data Loss Prevention, and Insider threat programs * Hands-on experience with threat detection, incident response, and vulnerability management * Experience leading security and compliance initiatives such as SOC2 or ISO27001 * Experience securing modern cloud infrastructure and SaaS environments * Ability to balance security, scalability, operational efficiency, and business needs * Strong ownership mentality and ability to operate independently in fast-moving environments * Excellent communication and cross-functional collaboration skills