LLM - Application/Cyber Security Engineer

We require proficiency in at least two of the below listed languages:

• Python (object-oriented principles, frameworks like Flask, Django, FastAPI) and SQL (query optimization, database design, and handling relational databases)
• HTML/CSS (front-end work)
• JavaScript (front-end or full-stack)
• C++/C# (systems-level or enterprise apps)
• Java (backend services or Android development)

Fundamental Requirements

• Cybersecurity Best Practices: Familiarity with OWASP Top 10, secure coding, and compliance standards.
• Clean Code & Testing: Strong code organization, adherence to testing methodologies, and ability to break down complex tasks.
• Prompt Engineering & GenAI Tools: Comfortable with ChatGPT or similar tools to accelerate development, aware of AI biases and pitfalls.
• Problem-Solving & Algorithmic Thinking: Proficiency in diagnosing issues, optimizing solutions, and refining system architecture.

Preferred Expertise

• Application Security & Secure Coding
• Machine Learning for Cybersecurity
• Software Development & Code Analysis

Ideal Candidate Profiles

• Cybersecurity Researcher / AI Security Engineer
• Application Security Engineer with AI/ML Exposure
• Machine Learning Engineer with a Cybersecurity Background

Below are the Roles:

1. Python + Cyber Security
2. Javascript + Cyber security
3. Java + Cyber Security
4. C++ and Cyber Security
5. C# + Cyber Security
6. Ruby on Rails + Cyber Security

This role requires more emphasis on the security side when compared to programming skills.