The OpportunityWe are building a dedicated AI Red Team to rigorously test and harden enterprise-scale AI products.
We are looking for an adversarial machine learning specialist who thinks like an attacker.
This role focuses on identifying vulnerabilities in LLM-driven systems, breaking model guardrails, exploiting data pathways, and stress-testing AI deployments before they reach enterprise customers.
This is a hands-on technical role at the core of AI security.
What You'll Do- Conduct adversarial testing across LLM and AI-based systems
- Execute real-world attack simulations, including:
- Prompt injection
- Jailbreaking and guardrail bypass
- Data exfiltration attempts
- Model inversion and evasion techniques
- RAG manipulation
- Develop scripts and tooling to automate attack scenarios
- Analyse model behaviour under adversarial pressure
- Identify systemic vulnerabilities in:
- APIs
- Embedding pipelines
- Vector databases
- Fine-tuned model implementations
- Collaborate with engineering teams to validate remediation
- Document findings clearly and concisely
You will help ensure AI systems are resilient before they are deployed at scale.
RequirementsWhat We're Looking ForCore Technical Skills- Strong experience in adversarial ML or AI security research
- Experience working with LLM-based systems (OpenAI, Anthropic, open-source models, etc.)
- Deep understanding of:
- Prompt injection techniques
- Model jailbreak methodologies
- AI system exploitation vectors
- Strong Python skills
- Experience building custom attack tooling or experimentation frameworks
AI Systems Knowledge- Familiarity with:
- RAG architectures
- Vector databases
- Model fine-tuning workflows
- API-based model deployments
- Understanding of model safety mechanisms and guardrails
Nice to Have- Background in cybersecurity or penetration testing
- Familiarity with OWASP LLM Top 10
- Experience working in enterprise environments
Who You Are- Curious and relentless
- Comfortable thinking like an attacker
- Creative in finding non-obvious vulnerabilities
- Detail-oriented but fast-moving
- Comfortable operating in ambiguity
- Independent but collaborative
You don't just run test cases - you design new ones.
Benefits- Comprehensive Private Medical Coverage
- Support for Mental Health Expenses
- Life Insurance Options
- Attractive Compensation Package
