AI Engineer (Cybersecurity)

TL;DR

AI Engineer (Cybersecurity): Building an autonomous AI pentesting agent designed for planning, exploiting, adapting, and reporting offensive security measures with an accent on the core logic and decision paths of the system. Focus on reasoning, complex planning, tool orchestration, and structured memory to handle complex offensive security tasks.

Location: Preference for the UK or US

Company

hirify.global is developing a fully autonomous AI pentesting agent designed to plan, exploit, adapt, and report with the speed and precision required for modern offensive security.

What you will do

• Contribute to the design, development, and optimization of an autonomous AI pentesting agent.
• Implement agent functions such as reasoning, complex planning, tool orchestration, and structured memory.
• Build and maintain secure environments to execute, test, and benchmark agent behaviors against offensive security scenarios.
• Assist in evaluating and comparing various Large Language Models (including Claude, OpenAI, Mistral, and Llama) to optimize specific agent tasks.
• Build UI components and dashboards using React and support browser automation workflows using Playwright for agent evaluation.
• Collaborate with offensive security researchers to align agent behaviors with real-world attacker workflows and vulnerability exploitation methodologies.

Requirements

• 2+ years of software development experience with a high level of proficiency in Python.
• Proven experience building AI agents utilizing frameworks such as LangChain, CrewAI, or similar SDKs.
• Hands-on experience with reasoning patterns, tool orchestration, memory management, and structured outputs.
• Proficiency in prompt engineering, Retrieval-Augmented Generation (RAG), chain-of-thought processing, and few-shot learning.
• Experience with SQL/NoSQL databases, data modeling, Docker, AWS, cloud deployment, and shell scripting.
• Experience using React for developing frontends and analytical dashboards.

Nice to have

• Familiarity with the OWASP Top 10 vulnerabilities.
• Experience in model training and fine-tuning (e.g., LoRA, PEFT) and evaluation.
• Practical cybersecurity expertise in pentesting methodologies or CTF platforms.
• Experience using Playwright for browser automation in the context of agent workflows.

Culture & Benefits

• Competitive Compensation: A market-leading salary package.
• Equity: Ownership stake in the AI pentesting venture.
• Autonomy: An early-stage role offering significant ownership over technical decisions and system architecture.
• Growth: The opportunity to work at the intersection of AI and cybersecurity within a rapidly scaling organization.

Hiring process

• Introductory Call: A 30-minute session with the founder and the AI agent team.
• Technical Evaluation: A one-hour technical exercise and a live discussion regarding previous work in building AI agents.