Applied AI Engineer

HackBook protects critical infrastructure, industrial organizations, and government entities from cyber threats through network and asset visibility, threat detection, and actionable insights for OT and IoT environments. The Applied AI Engineer will build and deploy language-model-powered systems for national security applications, including dataset curation, model post-training, retrieval systems, evaluation frameworks, and production model serving. The role also involves integrating AI capabilities into operational workflows and collaborating with engineering and cross-functional partners across cloud and on-premises environments.

Responsibilities:

• Create, clean, and maintain high-quality training and evaluation datasets for specialized AI use cases
• Fine-tune language models (small specialized through medium foundation models) for mission needs
• Implement post-training and alignment approaches to improve task performance and reliability
• Build retrieval-augmented generation (RAG) systems that ground model outputs in external knowledge
• Develop and optimize model serving infrastructure for production deployments
• Design evaluation frameworks and test harnesses to measure quality, latency, and regressions
• Integrate AI capabilities into applications and workflows using modern orchestration frameworks
• Collaborate with cross-functional partners to identify high-leverage use cases and deliver solutions
• Produce clear technical documentation for models, datasets, and operational processes