TL;DR

Senior AI Engineer (AI Engineering): Designing, prototyping, and delivering production-ready AI models and systems for cybersecurity protection with an accent on AI model lifecycle management, cloud AI frameworks, and cross-functional collaboration. Focus on building scalable AI solutions, mentoring engineers, and integrating AI into security products.

Location: Austin, TX, United States (onsite)

Company

%hirify_global% is a cybersecurity company focused on protecting customers by leveraging advanced AI and threat analysis to secure the digital world.

What you will do

Develop and deploy high-quality AI systems impacting customer cybersecurity.
Lead AI project implementation from prototype to production.
Collaborate with product managers, data scientists, and engineers to align AI efforts with business goals.
Contribute to best practices for AI model experimentation, evaluation, and observability.
Mentor team members on AI architecture, model design, and debugging.
Stay updated on emerging AI methods and share knowledge across teams.

Requirements

Location: Must be onsite in Austin, TX, United States
Proven experience building and deploying AI systems using Python and ML frameworks.
Hands-on expertise with scikit-learn, PyTorch, TensorFlow, AWS Bedrock, Sagemaker, and orchestration frameworks.
Strong understanding of AI model lifecycle management including monitoring and retraining.
Ability to balance model performance, latency, and interpretability.
English proficiency at least B2 level.

Nice to have

Familiarity with cybersecurity or experience in high-signal domains like finance or healthcare.

Culture & Benefits

Collaborative and iterative work environment focused on innovation.
Opportunities for continuous learning and knowledge sharing.
Strong emphasis on ownership, accountability, and delivering measurable business value.