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AI/ML Security Engineer – GenAI & Prompt Injection

Sparix Global.
1 day ago
Contract
Remote
₹140,000 - ₹150,000 INR yearly
Generative AI

AI/ML Security Engineer – GenAI & Prompt Injection

Position: AI/ML Security Engineer – GenAI & Prompt Injection

Position Overview

The AI/ML Security Engineer will help develop frameworks, tools, and infrastructure to evaluate, secure, monitor, and govern Machine Learning, Generative AI, and Agentic AI solutions at Workiva.

A key focus of this role is identifying and remediating AI security threats, particularly prompt injection, jailbreaks, data leakage, adversarial inputs, and unsafe AI/agent behavior.

The engineer will work closely with AI/ML, security, and product teams to build automated security evaluations, establish security metrics, investigate vulnerabilities, and implement effective remediation and guardrails across the AI/ML lifecycle. This role requires strong programming skills, a solid foundation in software engineering, and hands-on experience with AI/ML security testing and adversarial techniques.

Key Responsibilities

  • Design and develop frameworks for evaluating the security, safety, accuracy, reliability, and performance of ML/GenAI solutions.
  • Identify, reproduce, and remediate prompt injection and indirect prompt injection vulnerabilities.
  • Develop automated security and adversarial tests for LLMs and Agentic AI, including jailbreaks, data leakage, and unsafe tool use.
  • Build and maintain metrics, monitoring, and evaluation capabilities for AI/ML applications.
  • Collaborate with engineering and security teams to develop AI threat models, security controls, and guardrails.
  • Investigate vulnerabilities and unexpected behavior across LLMs, AI agents, APIs, and supporting infrastructure.
  • Contribute to AI/ML infrastructure, CI/CD pipelines, APIs, and automation.
  • Write scalable, secure, and maintainable code, primarily using Python.
  • Develop unit, integration, functional, and security tests.
  • Participate in code reviews, troubleshooting, production support, and security assessments.
  • Stay current with emerging AI security threats, attack techniques, and defensive strategies.

Required Skills

  • 6–7 years of experience in ML Engineering, Software Engineering, AI Security, Application Security, or a related field.
  • Experience with Generative AI, LLMs, and/or Agentic AI.
  • Understanding of LLM security threats, including:
    • Prompt injection
    • Indirect prompt injection
    • Jailbreaks
    • Data leakage
  • Strong programming skills in Python.
  • Strong foundation in software engineering, APIs, distributed systems, databases, and testing.
  • Experience with Git/GitHub and Agile/Sprint development environments.
  • Strong debugging, analytical, and problem-solving skills.

Preferred / Bonus Skills

  • Experience with AI/ML security testing, adversarial testing, red teaming, vulnerability assessment, or threat modeling.
  • Experience building AI/ML evaluation, monitoring, or governance frameworks.
  • Java or other programming languages.
  • Experience with ML deployment, CI/CD, data pipelines, and production infrastructure.
  • Hands-on experience with AWS, Docker, and Kubernetes.
  • Advanced degree with relevant experience.