C-Serv
Information Technology and Services
AdversarialMachineLearningEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Adversarial Machine Learning Engineer at C-Serv. Skills: Adversarial Machine Learning, AI Security, LLM Security, Prompt Injection, Jailbreaking, Guardrail Bypass. Conduct adversarial testing across LLM and AI-based systems. Execute real-world attack simulations”
What You'll Achieve.
Ensure AI systems are resilient before they are deployed at scale
Industry & Context.
Identifying vulnerabilities; Breaking model guardrails; Exploiting data pathways; Stress-testing AI deployments; Identifying systemic vulnerabilities
What They're Looking For.
Must Have
Adversarial ML or AI security research experience, Experience working with LLM-based systems (OpenAI, Anthropic, open-source models, etc.), Deep understanding of Prompt injection techniques, Deep understanding of Model jailbreak methodologies, Deep understanding of AI system exploitation vectors, Python skills, Experience building custom attack tooling or experimentation frameworks
Nice to Have
Background in cybersecurity or penetration testing, Familiarity with OWASP LLM Top 10, Experience working in enterprise environments
What You'll Do.
Conduct adversarial testing across LLM and AI-based systems
Execute real-world attack simulations
Develop scripts and tooling to automate attack scenarios
Analyze model behaviour under adversarial pressure
Identify systemic vulnerabilities in APIs
and fine-tuned model implementations
Collaborate with engineering teams to validate remediation
Document findings clearly and concisely
How You'll Work.
Team & Collaboration
Collaborate with engineering teams to validate remediation
Communication Scope
Document findings clearly and concisely
Full Job Description
### The Opportunity We 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. **Requirements** ### What We’re Looking For ### Core 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 relentl
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