AI Engineer (Cybersecurity)

Location: United States; remote

Company

hirify.global builds AI-powered systems that help security teams investigate, understand, and respond to threats faster using large language models, agent architectures, and security expertise.

What you will do

• Build LLM-powered features, workflows, and agentic systems for real customer security problems.
• Design evaluation frameworks, benchmarks, datasets, and regression tests to measure agent quality, reliability, and business impact.
• Investigate agent failures and improve prompting, tool use, retrieval, memory, planning, and reasoning strategies.
• Build infrastructure for AI experimentation, evaluation, deployment, monitoring, observability, and tracing.
• Work with customers, engineers, and product teams to understand workflows and identify AI automation opportunities.
• Contribute to engineering practices for testing, debugging, system design, and production reliability.

Requirements

• Strong programming skills, preferably in Python.
• Solid software engineering fundamentals, including testing, debugging, and system design.
• Experience building applications, projects, or products with LLMs and modern AI tools.
• Ability to design experiments, interpret results, and make data-driven decisions.
• Strong communication skills, curiosity, ownership, and willingness to learn quickly.
• Must be based in the United States; the role is remote.

Nice to have

• Experience building AI agents, copilots, workflow automation systems, or evaluation frameworks.
• Familiarity with OpenAI, Anthropic, Gemini, or open-source LLM ecosystems.
• Experience with retrieval systems, vector databases, and RAG architectures.
• Familiarity with LangGraph, OpenAI Agents SDK, MCP, or similar agent frameworks.
• Exposure to cybersecurity, security operations, developer tooling, open-source contributions, research, or personal AI products.

Culture & Benefits

• Work on challenging applied AI and AI-powered security operations problems.
• Join a small, collaborative team with significant ownership and impact.
• Work alongside experienced engineers, researchers, and security experts.
• Demonstrated ability, shipped products, open-source work, research, and ambitious side projects are valued over specific credentials.