Senior Software Applied AI Engineer (AI)

TL;DR

Senior Software Applied AI Engineer (AI): Developing cutting-edge AI-powered security solutions for an offensive security platform, with an accent on AI security agent development, LLM integration, and AI red teaming. Focus on building AI tools that enhance vulnerability discovery and protect organizations from emerging threats.

Location: Remote within ~50 miles of Seattle, WA

Salary: $170K – $250K

Company

hirify.global is a global leader in offensive security solutions, combining AI with the largest community of security researchers to find and fix vulnerabilities across the software development lifecycle.

What you will do

• Build and evolve an autonomous AI security agent with capabilities to plan, reason, and take secure actions, including vulnerability detection and threat intelligence generation.
• Enhance the AI security agent to provide instant security insights, natural language query processing, and actionable recommendations for security teams.
• Develop AI red teaming agents and frameworks to identify vulnerabilities in large language models and generative AI systems.
• Collaborate with product teams to integrate AI capabilities that enhance vulnerability discovery, validation, and remediation.
• Create APIs and integrations that enable seamless interaction between AI models, security tools, and the broader hirify.global ecosystem.

Requirements

• 5+ years of experience as a software engineer.
• Experience building production-grade AI platforms and infrastructure that support multiple AI product teams and applications.
• Strong hands-on experience with large language models (LLMs), generative AI, and machine learning frameworks in production environments.
• Expertise in AI platform engineering including model deployment, MLOps pipelines, model serving infrastructure, and shared AI services architecture.
• Solid understanding of AI safety and alignment principles, including responsible AI development, bias mitigation, and ethical AI practices.

Nice to have

• Experience building AI development platforms, model registries, experimentation frameworks, and tools that accelerate AI product development across organizations.
• Familiarity with frameworks like ReAct, AutoGen, or Semantic Kernel for agentic orchestration.
• Experience in agent action routing, secure tool usage APIs, and feedback loops for autonomous agents.
• Knowledge of prompt engineering, fine-tuning techniques, retrieval-augmented generation (RAG), and advanced LLM optimization strategies.

Culture & Benefits

• Health (medical, vision, dental), life, and disability insurance.
• Equity stock options.
• Paid public holidays and unlimited PTO.
• Paid maternity and parental leave.
• Flexible Work Stipend.