AI Security Engineer

Hello,

Greetings from ZettaMine Labs Pvt Ltd!!

We are looking for AI Security Engineer – Senior Level 1 with exciting project opportunities.

Job Role: AI Security Engineer – Senior Level 1

Location: Hyderabad (Madhapur)

Notice Period: Immediate / 15 Days

Experience: 7–10 Years

Relevant Experience: Strong hands-on experience in AI/GenAI Engineering, Application Security, Product Security, DevSecOps, Secure SDLC, LLM/AI Agents, RAG, AI Security, Python/C#/Java/JavaScript, Cloud, APIs, and modern software development workflows.

Mandatory:

• 7+ years of experience in Software Engineering, Security Engineering, Application Security, Product Security, or related areas
• 3+ years of hands-on experience developing AI/ML/GenAI solutions in enterprise environments
• Strong experience in Application Security / Product Security / DevSecOps / Secure SDLC
• Hands-on experience with LLMs such as Azure OpenAI, OpenAI, Anthropic, or similar platforms
• Strong understanding of AI Agents, Agentic Workflows, and AI orchestration frameworks
• Hands-on experience with RAG, embeddings, vector databases, and knowledge retrieval systems
• Strong programming experience in Python, C#, Java, JavaScript/TypeScript, or Go
• Strong knowledge of Secure SDLC, Threat Modeling, OWASP Top 10, SAST, DAST, IAST, SCA, Secrets Management, and Secure Coding
• Experience with APIs, microservices, and cloud-native architectures
• Experience with Azure, AWS, or Google Cloud

Good-to-Have:

• Experience with GitHub, GitLab, Jira, Azure DevOps, Jenkins, and IDE integrations
• Experience developing AI-powered developer copilots and security automation
• Experience integrating SAST, DAST, SCA, Secrets Detection, IaC Scanning, and Container Security
• Knowledge of Checkmarx, Veracode, Fortify, Snyk, GitHub Advanced Security, Semgrep, SonarQube, or similar tools
• Experience with C#, ASP.NET, and SQL Server
• Experience working with large-scale engineering datasets and telemetry
• Knowledge of AI evaluation frameworks, AI security guardrails, and LLM risk assessment
• Experience with RAG-based enterprise knowledge systems
• Exposure to CI/CD and modern software delivery practices

Key Responsibilities:

• Analyze and map end-to-end developer workflows across planning, coding, testing, CI/CD, deployment, and operations.
• Design, build, and assess AI-powered solutions to improve developer productivity and engineering efficiency.
• Develop AI agents and copilots to automate repetitive engineering and product security tasks.
• Implement RAG architectures and enterprise knowledge systems using internal documentation, security standards, and best practices.
• Build integrations across GitHub, GitLab, Jira, Azure DevOps, Jenkins, and IDE platforms.
• Identify development workflow bottlenecks and recommend AI-driven process improvements while maintaining security standards.
• Act as an Application Security SME for AI-enabled development initiatives.
• Embed security controls, secure coding guidance, and security best practices directly into developer workflows.
• Define approaches for secure code generation and AI-assisted software development.
• Integrate SAST, DAST, IAST, SCA, secrets detection, IaC scanning, and container security into AI-powered solutions.
• Develop and enforce security guardrails for AI-generated code and AI agents.
• Evaluate and mitigate risks associated with LLMs, AI agents, and autonomous software development.
• Drive Secure SDLC and DevSecOps practices across engineering teams.
• Design, develop, and deploy production-grade applications using C#, ASP.NET, SQL Server, and modern AI frameworks.
• Develop agentic workflows using LLMs and orchestration frameworks.
• Create AI evaluation frameworks to measure model effectiveness, security, quality, and developer adoption.
• Work with large-scale datasets and telemetry to generate actionable engineering and security insights.
• Develop APIs, microservices, services, and enterprise integrations supporting AI capabilities.
• Collaborate with Engineering, Product Security, Platform Engineering, DevOps, and Developer Experience teams.
• Present technical findings, security recommendations, and AI adoption insights to technical leaders and executives.
• Contribute to the organization's secure enterprise AI strategy.

Who Can Apply

✔️ 7+ years of experience in Software Engineering, Security Engineering, Application Security, Product Security, or related areas.

✔️ 3+ years of hands-on experience developing AI/ML/GenAI solutions in enterprise environments.

✔️ Strong hands-on experience with LLMs, Generative AI, AI Agents, and Agentic Workflows.

✔️ Experience with Azure OpenAI, OpenAI, Anthropic, or similar LLM platforms.

✔️ Strong experience with RAG, embeddings, vector databases, and knowledge retrieval systems.

✔️ Hands-on experience with AI Agent frameworks and orchestration platforms.

✔️ Strong programming skills in Python, C#, Java, JavaScript/TypeScript, or Go.

✔️ Strong understanding of Application Security, Product Security, DevSecOps, and Secure SDLC.

✔️ Strong knowledge of OWASP Top 10, Threat Modeling, SAST, DAST, IAST, SCA, Secrets Management, and Secure Coding.

✔️ Experience reviewing code and identifying security vulnerabilities and secure coding issues.

✔️ Hands-on experience with security tools such as Checkmarx, Veracode, Fortify, Snyk, GitHub Advanced Security, Semgrep, or SonarQube.

✔️ Strong understanding of APIs, Microservices, Cloud-Native Architecture, and CI/CD.

✔️ Experience with Azure, AWS, or Google Cloud.

✔️ Experience integrating AI solutions with developer and DevOps platforms.

✔️ Strong understanding of AI security risks, LLM security, AI guardrails, and AI-agent security.

✔️ Excellent communication, collaboration, and stakeholder management skills.

Candidate Details:

Please share the following details along with your updated resume: [Confidential Information]

Full Name:

Contact Number:

Current Location:

Total Experience:

Relevant Experience in AI/GenAI:

Application/Product Security Experience:

DevSecOps / Secure SDLC Experience:

AI/ML/GenAI Development Experience:

LLM Experience:

Azure OpenAI / OpenAI / Anthropic Experience:

AI Agent / Agentic Workflow Experience:

AI Agent Frameworks / Orchestration Experience:

RAG Experience:

Vector Database / Embeddings Experience:

Python / C# / Java / JavaScript Experience:

C# / ASP.NET Experience:

SQL Server Experience:

Application Security Experience:

Threat Modeling Experience:

OWASP Top 10 Experience:

SAST / DAST / IAST Experience:

SCA / Secrets Detection Experience:

IaC / Container Security Experience:

Security Tools Experience:

GitHub / GitLab / Jira / Azure DevOps / Jenkins Experience:

API / Microservices Experience:

Azure / AWS / GCP Experience:

AI Security / LLM Security Experience:

Current Company:

Notice Period:

Current CTC:

Expected CTC:

We look forward to connecting with you!!

Thanks and Regards,

TAG Team