Staff AI Security Engineer — Production Systems, Remote

AI Chopping Block; New York (NY); On-site; USD 180,000 - 300,000; Full time

Job summary

Aegis, a fast-growing AI-native security company, is seeking a Staff or Senior Staff engineer in New York or open to Remote to build the next generation of security products. This is highly technical with a path to leadership; you’ll own hard problems, ship features, set technical direction, and mentor engineers.

The role offers in-person in NY/SF preferred but remote is possible; you’ll work on detecting adversarial AI threats, turning noisy data into detections, influencing model creation, and

Qualifications

• Have operated at Staff-level technical scope.
• Built production systems where false positives, correctness, reliability, or risk mattered.
• Can move between architecture and implementation without treating either as someone else’s job.
• Are comfortable making decisions with incomplete information and updating them quickly as you learn.
• Can prioritize across multiple important problems instead of treating every request as equally urgent.
• Communicate technical decisions clearly in writing.
• Make other engineers more effective, whether or not you have formally managed them.
• Want significantly more responsibility than your current environment can give you.

Responsibilities

• Build security systems that can make good decisions from incomplete and noisy information.
• Turn large volumes of noisy security data into high-confidence detections.
• Influence/Participate in model creation to build the best product.
• Understand what “normal” looks like when it is different for every user and organization.
• Move new detection ideas from prototype to reliable production systems.
• Measure whether the systems we build are actually correct.

Job description

Aegis, a fast-growing AI-native security company, is seeking a Staff or Senior Staff engineer in New York or open to Remote to build the next generation of security products. This is highly technical with a path to leadership; you’ll own hard problems, ship features, set technical direction, and mentor engineers.

The role offers in-person in NY/SF preferred but remote is possible; you’ll work on detecting adversarial AI threats, turning noisy data into detections, influencing model creation, and