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AI Engineer

The Role As a Generative AI Engineer within a cybersecurity company, you will be responsible for developing intelligent AI-driven security solutions that help organizations detect, prevent, and respond to evolving cyber threats. Design, develop, and deploy Generative AI and ML models for cybersecurity use cases such as threat detection, security copilots, phishing detection, incident response automation, anomaly detection, malware analysis, and vulnerability intelligence Build and maintain scalable AI/ML pipelines for training, fine-tuning, evaluation, and real-time inference across security systems and enterprise environments Support deployment of AI systems on cloud and edge environments using platforms such as AWS, Azure, or GCP with a strong focus on secure and scalable infrastructure 2–6+ years of experience as an AI Engineer, Machine Learning Engineer, Generative AI Engineer, or similar role ~ Strong programming skills in Python ~ Experience with ML/DL frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, or similar technologies ~ Experience building and deploying Generative AI or ML pipelines in production environments ~ Familiarity with LLMs, RAG architectures, vector databases, prompt engineering, fine-tuning, and AI agents ~ Familiarity with cloud platforms such as AWS, Azure, or GCP ~ Understanding of secure software development, AI security risks, and responsible AI principles ~ Strong problem-solving and collaboration skills across engineering and security teams Opportunity to grow into a senior or leadership position within a rapidly growing AI and cybersecurity-focused company

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