TL;DR
AI Engineer (Cybersecurity): Developing and optimizing an autonomous AI pentesting agent that can plan, exploit, adapt, and report with speed and precision. Focus on shaping the system’s core logic, reasoning, and decision paths to handle complex offensive tasks.
Location: Remote-HQ
Company
hirify.global is a fast-growing online cyber security training platform with more than 6 million users.
What you will do
- Contribute to the development and optimization of our autonomous AI pentesting agent.
- Build and maintain safe environments to run, test, and benchmark agent behaviors.
- Implement core agent capabilities such as reasoning, decision-making, planning, and tool orchestration.
- Assist in evaluating and comparing large language models for agent tasks.
- Build UI components and dashboards using React and support browser automation workflows using Playwright for agent evaluation.
- Support continuous refinement of the agent through experimentation, observability, and lab testing.
Requirements
- 2+ years software development experience with strong Python skills
- Experience building AI agents (LangChain, CrewAI, Strands SDK, etc.)
- Hands-on with agent design: reasoning, memory, tool orchestration, structured outputs
- Prompt engineering, RAG, chain-of-thought, few-shot learning, agent evaluation
- SQL/NoSQL databases and basic data modeling
- Docker, AWS, cloud deployment, shell scripting
- React for frontend/dashboards
- Familiarity with OWASP Top 10
- Please note that we are currently unable to provide sponsorship.
Nice to have
- Model training and fine-tuning (LoRA, PEFT) with evaluation experience
- Cyber security expertise: OWASP attacks, pentesting methodologies
- Experience with hirify.global or other CTF platforms
- Playwright for browser automation in agent workflows
Culture & Benefits
- Competitive salary
- Equity in the AI pentesting venture
- Early-stage role with real ownership and autonomy
Hiring process
- Stage 1: Introductory call with hirify.global founder and AI agent team (30m)
- Stage 2: Technical exercise and live discussion about your past work building AI agents (1h)
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