Senior Agentic AI Engineer

Posted 15 hours ago

This is a fully remote position, open to applicants in California, +2 more states.

πŸ“‹ Description

β€’ Design, develop, secure, and manage governed agentic AI functionalities for Security Defense Technologies.

β€’ Create agentic workflows, AI-enhanced applications, tool integrations, retrieval methodologies, and deterministic security automation.

β€’ Specify agent boundaries, identities, permissions, approved tools, human approval checkpoints, auditability, rollback procedures, and emergency-stop protocols.

β€’ Construct reusable services and components utilizing Python, APIs, Git-based CI/CD, containers, and enterprise automation platforms.

β€’ Employ secure SDLC methodologies, including threat modeling, code and dependency scanning, testing, peer review, and production-readiness assessments.

β€’ Implement telemetry for agent decisions, tool interactions, failures, quality assessments, security incidents, and operational health monitoring.

β€’ Collaborate with security engineering, architecture, governance, platform, and operations teams to transition validated prototypes into supported capabilities.

β€’ Document architecture, controls, runbooks, test evidence, ownership, and support frameworks.

β€’ Undertake additional responsibilities as assigned.

β€’ Adhere to all policies and standards.


⛳️ Requirements

β€’ Must possess authorization to work in the U.S. without the need for employment-based visa sponsorship, now or in the future.

β€’ Bachelor's degree in a quantitative or business discipline (e.g., statistics, mathematics, engineering, computer science), or equivalent experience gained through relevant knowledge, duties, scope, and skills.

β€’ Requires 4–6 years of pertinent experience.

β€’ Senior-level experience in building production software, security automation, platform engineering, or AI-driven systems.

β€’ Direct experience with agentic AI is highly preferred, or demonstrated expertise in software engineering along with applied AI/LLM development.

β€’ Familiarity with AWS, Bedrocks, and Databrisks is preferred.

β€’ Intermediate skills in analytical thinking, project management, judgment, decision-making, accuracy, independent work, and problem identification.


🏝️ Benefits

β€’ Competitive pay.

β€’ Health insurance.

β€’ 401K.

β€’ Stock purchase plans.

β€’ Tuition reimbursement.

β€’ Paid time off plus holidays.

β€’ Flexible work arrangements including remote, hybrid, field, or office schedules.

β€’ Additional incentives may be included in the total compensation package.

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