TL;DR

Staff Software Engineer (AI Engineering): Define and lead the architecture and development of AI-driven cybersecurity systems with an accent on scalable, reliable, and explainable AI platforms. Focus on designing global-scale orchestration, mentoring engineers, and integrating AI research into production frameworks.

Location: Remote positions open to the US only

Salary: $170,000 - $200,000

Company

%hirify_global% is a cybersecurity company specializing in AI-driven Human Risk Management platforms, serving over 70,000 organizations worldwide with a focus on security culture and workforce transformation.

What you will do

Define and evolve the technical vision and architecture for AI and agentic systems across multiple products.
Design scalable orchestration, data, and serving patterns to support global reliability.
Collaborate with AI Research to convert prototypes into extensible, governed production frameworks.
Mentor engineers, lead design reviews, and guide cross-team engineering initiatives.
Establish best practices for observability, testing, and secure, explainable AI systems.
Align teams and partner with Product Management to ensure engineering designs meet product requirements.

Requirements

Must be legally authorized to work in the United States and able to work remotely from the US.
9+ years of experience designing and operating large-scale, distributed, or AI-driven systems.
Proven technical leadership in architecture and design patterns across multiple teams or domains.
Expertise in Python and backend/API frameworks such as FastAPI or Flask.
Deep understanding of cloud-native architecture (AWS preferred), event-driven systems, and distributed scalability.
Experience building or integrating AI/ML platform features including model serving, orchestration, vector search, or MLOps frameworks.

Nice to have

Experience designing agentic or retrieval-based architectures at scale.
Strong experience in observability, reliability, and incident response.

Culture & Benefits

Impactful work building AI that protects people, not just data.
Collaborative culture with small, high-ownership teams shipping fast and learning together.
Modern technology stack including Bedrock, LangGraph, FastAPI, and PyTorch.
Continuous learning budgets for certifications, conferences, and exploration time.
Radical transparency, trust, and accountability in the workplace.
Global scale impact protecting users across 70,000+ organizations.

Hiring process

Applicant assessment and background check may be part of the hiring procedure.
Interviews without AI assistance, except approved reasonable accommodations.