AI Cybersecurity Software Engineer
Job Description
The AI Cybersecurity Software Engineer role at CyberDNA Security is focused on building an AI-powered cybersecurity solution in stealth mode. The work combines machine learning and deep learning with generative AI and LLM development to support cybersecurity innovation.
Role Overview
In this position, you will design and implement AI models for cybersecurity use cases, including both ML/DL systems and generative AI capabilities. The role emphasizes LLM fine-tuning and agentic development workflows as part of building new cybersecurity functionality.
Key Responsibilities
- Build machine learning and deep learning models
- Develop Generative AI and LLM models, including fine-tuning and agentic development
- Contribute to AI-driven cybersecurity innovations
Required Qualifications
- Proficiency in Python with TensorFlow or PyTorch
- Experience with LLM fine-tuning, prompt engineering, and agentic workflow development
- Must be a US Citizen
Preferred Qualifications
- Cybersecurity experience is a big plus
- Familiarity with AWS, Azure, or GCP is a plus
Technologies
- Python
- TensorFlow
- PyTorch
- LLM and Generative AI
- AWS, Azure, GCP
Location and Compensation
Location: Remote (remote).
Compensation: USD 20 - 40 per hour.
How to Apply
Send your resume and portfolio to:
Pay: $20.00 - $40.00 per hour
Work Location: Remote
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