About Us

Deccan AI Experts is a pioneering AI company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in high-quality human-curated data, AI-first operations, and advanced AI evaluation systems. Our global network of AI and cybersecurity experts helps train and evaluate next-generation AI models through expert security judgment, AI risk assessment, and enterprise security engineering expertise.

About the Role

We are seeking an AI Security Engineer (Freelancer) to support advanced AI evaluation initiatives focused on AI security, Large Language Model (LLM) security, adversarial AI, secure AI application development, model security, AI threat assessment, and AI-generated technical content evaluation.

In this role, you will evaluate AI-generated security architectures, threat models, secure AI workflows, LLM security recommendations, AI application designs, vulnerability assessments, and technical documentation. Your expertise will help improve AI systems designed for secure AI deployment, AI risk mitigation, adversarial resilience, and enterprise AI security.

This position is ideal for professionals with experience in AI security, application security, cloud security, machine learning security, cybersecurity engineering, DevSecOps, or AI infrastructure.

Responsibilities

- Review AI-generated security architectures, threat models, AI application designs, security controls, vulnerability assessments, penetration testing recommendations, and governance documentation.
- Evaluate AI systems involving Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, APIs, vector databases, cloud infrastructure, and enterprise integrations.
- Verify AI-generated recommendations for authentication, authorization, encryption, prompt injection mitigation, secure tool usage, model access control,



monitoring, logging, and incident response.
- Assess AI-generated security solutions for scalability, reliability, maintainability, regulatory compliance, and enterprise readiness.
- Identify security vulnerabilities, prompt injection risks, jailbreak techniques, data leakage, model poisoning, adversarial attacks, insecure APIs, and infrastructure weaknesses.
- Provide structured feedback to improve AI performance in secure AI development, AI threat mitigation, and enterprise AI security.
- Review peer-developed deliverables to maintain quality and consistency standards.

Requirements

- Bachelor's degree in Computer Science, Cybersecurity, Information Security, Software Engineering, Artificial Intelligence, Information Technology, or a related field.
- Master's degree is preferred.
- 2+ years of hands-on experience in cybersecurity, AI security, application security, cloud security, DevSecOps, machine learning security, or security engineering.
- Securing AI and machine learning applications.
- Conducting threat modeling, vulnerability assessments, and security reviews.
- Designing secure AI architectures and access control mechanisms.
- Reviewing AI-generated security documentation and technical recommendations.
- Implementing security best practices for enterprise AI deployments.
- Proficiency in Python and familiarity with Java, Go, JavaScript, or C# is preferred.
- Experience with AI frameworks such as LangChain, OpenAI APIs, Azure OpenAI Service,



Anthropic APIs, Hugging Face , or similar platforms is an advantage.
- Familiarity with DevSecOps pipelines, CI/CD security, infrastructure-as-code security, and cloud-native security practices.
- Excellent analytical thinking, penetration testing, threat analysis, documentation, and written English communication skills.
- Strong attention to detail and ability to evaluate enterprise AI security solutions.
- Ability to work independently in a remote, fast-paced environment.

Preferred Qualifications

- Experience working with enterprise AI platforms, cloud providers, consulting firms, cybersecurity organizations, SaaS companies, financial institutions, healthcare organizations, or government agencies.
- Experience implementing AI security controls, red teaming AI systems, LLM security testing, AI governance, or secure AI lifecycle management.
- Experience evaluating AI-generated threat models, security architectures, vulnerability assessments, AI governance documentation, or incident response procedures.
- Familiarity with Generative AI, AI agents, Retrieval-Augmented Generation (RAG), AI benchmarking, RLHF (Reinforcement Learning from Human Feedback), model evaluation, or AI infrastructure is highly desirable.

Why Join Us

- Competitive hourly pay: ₹2,000/hour
- Fully remote with flexible working hours.
- Chance to contribute to cutting-edge AI initiatives in AI security, LLM security, and Generative AI.
- Exposure to advanced AI systems focused on secure AI applications, adversarial testing, enterprise AI governance, and responsible AI deployment.
- Flexible project-based opportunities with global teams.
- Work on next-generation AI solutions supporting enterprise organizations, cybersecurity firms, AI startups, cloud providers, and technology companies.

📌 AI Security Engineer (Freelancer) (Bengaluru)
🏢 Deccan AI Experts
📍 Bengaluru