Sr. Software Engineer (AI Security)

TL;DR

Sr. Software Engineer (AI Security): Building enterprise-ready AI agent security solutions and partner integrations with an accent on GenAI, Copilot security, and scalable cloud services. Focus on designing large-scale systems, securing AI agents across enterprise environments, and turning existing features into governed, production-ready capabilities.

Location: Hybrid role requiring up to 3 days per week in the New York City office; based in the United States.

Salary: $180,000–$250,000 base salary, depending on experience, skills, and location; equity and performance-based incentives may also be available.

Company

An AI security startup providing an agent-centric platform for visibility, governance, detection, prevention, and response across the full lifecycle of enterprise AI agents.

What you will do

• Take ownership of existing features and make them enterprise-ready.
• Build GenAI and Copilot security solutions for enterprise customers.
• Develop and scale platform capabilities, services, and partner integrations.
• Collaborate with product, engineering, sales, and customer-facing teams.
• Contribute to processes and initiatives that improve customer success.

Requirements

• 5+ years of software engineering experience.
• Advanced proficiency with AI coding agents, including skills and rules.
• Expertise in one or more modern programming languages, such as Python, C#, Java, Go, TypeScript, or JavaScript.
• Experience building and scaling large-scale services on AWS, Azure, or GCP.
• Proven ability to build systems, processes, and working relationships rather than only maintain existing solutions.
• Strong communication, collaboration, ownership, and accountability in fast-moving environments.

Culture & Benefits

• Startup environment combining rapid execution with high technical standards.
• Emphasis on ownership, transparent communication, customer success, and cross-functional partnership.
• Opportunity to influence how enterprises secure and govern AI agents.
• Equity and performance-based incentives may be available in addition to base compensation.

Hiring process

• Recruiter screen followed by a problem-solving assessment.
• Interviews with the hiring manager, Director of Engineering, VP of R&D, and People Team.
• Technical discussions cover system design, problem solving, technical depth, execution, collaboration, and work style.