Security Analyst

About Client :

Our client is one of the world's fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. They helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Powering this growth is our clients talent cloud—an AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts who can train models and build AI applications. All of this is orchestrated by ALAN—our AI-powered platform for matching and managing talent, and generating high-quality human and synthetic data to improve model performance. ALAN also accelerates workflows for model and agent evals, supervised fine-tuning, reinforcement learning, reinforcement learning with human feedback, preference-pair generation, benchmarking, data capture for pre-training, post-training, and building AI applications.

Job Title: offensive security

Location: Remote

Experience: 2+ years

Employment Type: Contract to hire

Notice Period: Immediate joiners

Requirements:

• 2+ yrs hands-on offensive security or adversarial ML experience, including at least 1 yr on LLM or prompt-injection testing.
• Deep fluency with both classic AppSec techniques (XSS, CSRF, SSRF) and LLM-specific issues (jailbreaks, hidden prompt channels).
• Comfortable orchestrating attacks that chain browser automation, terminal commands, HTTP requests, and API calls.
• Solid Python/bash; can prototype tooling inside a constrained VM.
• Track record of clear vulnerability write-ups (CVE, HackerOne, or internal bug bounty).
• Working knowledge of privacy & financial-risk policies (GDPR, SOC2, or comparable).