Senior AI Engineer-AI Research

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.

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.

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.

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!