Description
Summary Senior AI Engineer Duration: Long-term (6+ months) Experience: 5+ years Your Role As a Senior AI Engineer, you will play a key role in designing, developing, and scaling AI capabilities across various product portfolio. You will work closely with software engineers, data scientists, and cybersecurity experts to build reliable AI solutions that support security analysts, engineers, and business stakeholders. You will take ownership of AI initiatives from concept to production and help shape the AI engineering standards and practices. Your Responsibilities Lead AI initiatives for NDR (Network Detection & Response) and UEBA (User & Entity Behavior Analytics) products Design and implement LLM-powered applications, including RAG pipelines, AI agents, prompt engineering, and evaluation frameworks Translate complex cybersecurity workflows into effective AI-driven solutions Define best practices for AI development, including model evaluation, monitoring, and responsible deployment Collaborate with cross-functional teams and contribute to building a strong AI engineering culture Your Profile 5+ years of experience in software engineering, ML engineering, or applied AI development Strong experience with NLP, LLMs, and AI application development Hands-on experience building production-ready LLM solutions (RAG systems, agents, fine-tuning pipelines) Strong Python skills and experience with frameworks such as LangChain, LlamaIndex, OpenAI APIs, or similar technologies Good understanding of the full ML lifecycle, from prototyping to production monitoring Experience working in agile, product-focused environments Independent, proactive, and collaborative working style Nice to have: Background in cybersecurity, network detection, SIEM, NDR, or UEBA technologies ⚠️ Important: Candidates who attach a CV to their application will be prioritized.