Category : AI Engineer
Experience: 6 - 7 years [ experience must]
Engagement Type : Contractual
Collaboration Duration : 6 Months
Engagement Mode : Remote
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 behaviour. 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, and 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
Pay: Up to ₹80,000.00 per month
Work Location: Remote
