Senior AI Engineer-AI Research

Description:

At Dream, we redefine cyber defense vision by combining AI and human expertise to create products that protect nations and critical infrastructure. This is more than a job; It’s a Dream job. Dream is where we tackle real-world challenges, redefine AI and security, and make the digital world safer. Let’s build something extraordinary together.

Dream's AI cybersecurity platform applies a new, out-of-the-ordinary, multi-layered approach, covering endless and evolving security challenges across the entire infrastructure of the most critical and sensitive networks. Central to our Dream's proprietary Cyber Language Models are innovative technologies that provide contextual intelligence for the future of cybersecurity.  

At Dream, our talented team, driven by passion, expertise, and innovative minds, inspires us daily.  We are not just dreamers, we are dream-makers. 

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.

• 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.