AES - DE - Generative AI Application Developers
INR 2800K-3500K (estimate) Senior-level Full Time
Tasks
- Apply hybrid analysis SAST DAST IAST
- Build AI assisted threat modeling systems
- Build AI copilots for secure coding
- Build IDE integrations
- Build agentic security workflows
- Build automated security validation frameworks
- Conduct hands-on code reviews
- Create security focused boilerplate code
- Create self healing pipelines
- Design security knowledge systems RAG and graph based
- Design security libraries and frameworks
- Detect and remediate vulnerabilities before production
- Develop LLM guardrails
- Develop LLM powered code review systems
- Develop developer first security tooling
- Enforce secure coding standards through automation
- Implement sandboxing and policy enforcement
- Implement semantic code analysis
- Integrate security into deployment pipelines
- Integrate security into infrastructure as code
- Integrate security validation into CI CD pipelines
- Lead application development
- Lead security architecture reviews
- Mentor engineers
- Perform threat modeling and security design
- Provide architecture guidance
- Use symbolic execution and formal methods
- Validate incident response remediation strategy
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Application Security Testing | Authentication | Authorization | Azure | C# | CI/CD | Code Analysis | Cryptography | Data leakage | Dependency Scanning | DevOps | Dynamic Application Security | Dynamic Application Security Testing | Formal Methods | Graph Databases | Infrastructure Security | Infrastructure as Code | Interactive Application Security Testing | Jailbreak Attacks | Java | JavaScript | LLM Reasoning | Policy enforcement | Prompt injection | Python | RAG | Sandboxing | Secure Coding | Security Testing | Semantic Code Analysis | Semantic code | Static Application Security Testing | Supply Chain | Supply chain integrity | Symbolic Execution | Threat modeling | TypeScript | “as-code”
Education
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