Software Engineer II (AI Security)

TL;DR

Software Engineer II (AI Security): Building and implementing security foundations for Copilot AI to ensure trusted and safe user experiences with an accent on secure orchestration, prompt injection defenses, and privacy-first systems. Focus on designing secure agentic workflows, implementing information-flow reasoning, and mitigating emerging adversarial threats in large-scale distributed environments.

Location: Must be based in Redmond, United States (Hybrid: expected to work from the office at least four days per week for those within 50 miles of the office).

Salary: $100,600 – $199,000 per year

Company

hirify.global develops trusted, resilient, and safe AI experiences that scale globally across various ecosystems.

What you will do

• Develop security features to protect Copilot from prompt injection, adversarial manipulation, and unsafe agentic workflows.
• Implement secure orchestration components for safe action delegation across devices and platforms.
• Build intelligent agents using information-flow reasoning, guardrails, and security constraints.
• Collaborate with cross-functional teams in engineering, product, and privacy to adopt secure agentic patterns.
• Monitor agentic AI security metrics to enhance reliability and user trust.
• Create technical documentation for safe-delegation guidelines and risk considerations.

Requirements

• Bachelor's Degree in Computer Science or related field.
• 2+ years of technical engineering experience with coding in C, C++, C#, Java, JavaScript, or Python.
• Experience building production-quality software systems.
• Ability to collaborate effectively and communicate complex technical concepts across teams.

Nice to have

• Master's Degree in Computer Science or related field.
• Experience with large-scale distributed systems or services (1-2+ years).
• Background in security-critical, privacy-sensitive, or AI-powered systems.
• Familiarity with agentic AI concepts like tool calling or multi-agent workflows.
• Knowledge of Docker, Kubernetes, or distributed compute frameworks.
• Experience with LLM observability tools (e.g., LangFuse, MLFlow, Phoenix).

Culture & Benefits

• Growth-oriented environment emphasizing respect, integrity, and accountability.
• Opportunity to work on transformative products impacting hundreds of millions of users.
• Culture of inclusion and a commitment to empowering every person and organization.
• Standard corporate benefits package available.