LLM - Application / Cyber Security Engineer

Job description
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:
• Python + Cyber Security
• Javascript + Cyber security
• Java + Cyber Security
• C and Cyber Security
• C + Cyber Security
• Ruby on Rails + Cyber Security

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

Search Guidance
• Skills required(Mandatory): Python OR Java OR C OR JavaScript OR C Cyber Security OR Security
• Total Years Of exp: 4+ years experience
• Notice Period: Immediate
• Overlap Required: 5 hours PST