Senior AI Engineer-AI Research

Description Every nation has data. Few can protect it. Fewer still can act on it. Dream is the sovereign AI and national cyber-defense company for governments. We help nations secure their most critical systems, connect fragmented information at a national scale, and turn their most sensitive data into decisions, all fully sovereign. This is more than a job. It's a Dream job, where you'll work at a global scale alongside some of the best AI researchers, cyber operators, and government experts in the world. We defend nations against the most advanced threats in the world with a national security suite that offers AI-native resilience against APTs with visibility, insights and mediation across Posture, CTI, and Detection & Response, all fully sovereign. The Dream Job We are seeking a Senior AI Engineer to join Dream’s core product organization, where you will design, build, and scale next-generation AI systems powering real-world cybersecurity use cases across our diverse product portfolio (Posture, Detection, and CTI). This role focuses on developing production-grade systems leveraging LLMs, advanced machine learning, and agent-based architectures. You will join a team within Dream’s Cyber R&D organization-leading the company’s core product portfolio- while driving AI innovation and establishing engineering best practices across the domain. The team focuses on building and optimizing large-scale AI systems, including LLM-based solutions and advanced multi-agent workflows, working closely with data scientists and researchers to bring ideas into production. The Dream-Maker Responsibilities Design, build, and own end-to-end AI solutions- from data collection and preprocessing to model training, evaluation, and production deployment. Optimize systems for performance, scalability, and reliability in production environments. Collaborate closely with product, design, and engineering teams to identify and deliver AI-driven capabilities that address real customer needs. Stay up to date with emerging AI/ML technologies, frameworks, and best practices, and apply them where they create real impact. Work across the stack, contributing to backend systems and data pipelines that support large-scale AI applications. Troubleshoot and resolve complex system issues, including performance bottlenecks, race conditions, and memory-related challenges. Approach problems with a strong analytical mindset, delivering robust solutions while contributing to a high-performing, collaborative team environment. The Dream Skill Set Must-have: 5+ years of experience in backend or AI engineering with strong coding skills (Python preferred). Proven experience building and deploying production-grade AI/ML systems. Strong software engineering fundamentals (data structures, algorithms, system design). Experience with distributed systems, microservices, and cloud platforms (AWS/GCP/Azure). Hands-on experience with LLMs and generative AI, including prompt engineering and model integration. Experience with LLM frameworks and agent orchestration tools (e.g., LangChain, CrewAI, ADK, or similar). Strong debugging and problem-solving skills, with an ownership mindset. Nice-to-have: Experience with ML frameworks such as PyTorch or TensorFlow. Experience with MLOps tools and practices (MLflow, Kubeflow, CI/CD for ML). Background in NLP, LLM optimization, or agent-based systems in production. Experience with large-scale data pipelines and NoSQL databases. Experience with model evaluation, monitoring, and continuous improvement in production environments. Contributions to open-source projects or research publications. Never Stop Dreaming... If you think this role doesn't fully match your skills but are eager to grow and break glass ceilings, we’d love to hear from you!