Founding Security Engineer AI/ML Security

As a Founding Security Engineer at a Seed-Funded AI Startup located in Indiranagar, Bangalore, you will be responsible for securing AI systems operating in production environments. Your role involves working directly with the founders to build security guardrails for AI agents, LLM applications, and ML systems deployed at scale. Key Responsibilities: - Secure AI agents and LLM-powered applications in production. - Identify and mitigate Prompt Injection, Jailbreaking, Data Exfiltration, and Agent Abuse attacks. - Design security controls for agentic workflows and multi-agent systems. - Conduct threat modeling for AI/ML applications. - Build monitoring, detection, and response systems for AI-specific security incidents. - Develop evaluation frameworks to continuously test AI system robustness. - Partner with AI and platform engineering teams to implement secure-by-design architectures. Qualifications Required: - Strong background in Cybersecurity, Application Security, or Security Engineering. - Hands-on experience with Prompt Injection, Jailbreaking, AI Red Teaming, or AI Security testing. - Understanding of LLMs, AI Agents, RAG systems, MCP, and modern AI architectures. - Experience in threat modeling, vulnerability assessment, and security engineering. - Strong Python skills and familiarity with cloud environments (AWS, GCP, or Azure). - Ability to operate in a fast-paced startup environment with high ownership. Joining this company will provide you with founding-level ownership and impact. You will have the opportunity to work directly with the founding team, solve cutting-edge AI security challenges before they become mainstream, and define the security foundation of an AI-native company. Additionally, you will receive competitive compensation of up to 50 LPA. As a Founding Security Engineer at a Seed-Funded AI Startup located in Indiranagar, Bangalore, you will be responsible for securing AI systems operating in production environments. Your role involves working directly with the founders to build security guardrails for AI agents, LLM applications, and ML systems deployed at scale. Key Responsibilities: - Secure AI agents and LLM-powered applications in production. - Identify and mitigate Prompt Injection, Jailbreaking, Data Exfiltration, and Agent Abuse attacks. - Design security controls for agentic workflows and multi-agent systems. - Conduct threat modeling for AI/ML applications. - Build monitoring, detection, and response systems for AI-specific security incidents. - Develop evaluation frameworks to continuously test AI system robustness. - Partner with AI and platform engineering teams to implement secure-by-design architectures. Qualifications Required: - Strong background in Cybersecurity, Application Security, or Security Engineering. - Hands-on experience with Prompt Injection, Jailbreaking, AI Red Teaming, or AI Security testing. - Understanding of LLMs, AI Agents, RAG systems, MCP, and modern AI architectures. - Experience in threat modeling, vulnerability assessment, and security engineering. - Strong Python skills and familiarity with cloud environments (AWS, GCP, or Azure). - Ability to operate in a fast-paced startup environment with high ownership. Joining this company will provide you with founding-level ownership and impact. You will have the opportunity to work directly with the founding team, solve cutting-edge AI security challenges before they become mainstream, and define the security foundation of an AI-native company. Additionally, you will receive competitive compensation of up to 50 LPA.