AI Developer (Security)
Tasks
- Analyze AI specific threats
- Assess AI system security
- Build AI pipelines
- Build LLM agents
- Build RAG systems
- Conduct AI product security reviews
- Design AI-driven security solutions
- Embed shift left AI security checks
- Integrate AI into workflows
- Integrate security checks into CI/CD pipelines
- Manage shadow AI risks
Perks/Benefits
- Additional paternity leave
- Corporate training
- Discount programs
- Family days
- Financial assistance for parents with newborns
- Hybrid work
- In-office massages
- Job security support program
- Legal consultations
- Medical insurance
- Mentorship program
- Nutritionist consultations
- Online training
- Paid leave
- Psychologist consultations
- Referral program
- Sports discounts
Skills/Tech-stack
AI Act | AI RMF | API Integration | AWS Bedrock | AppSec | Artifact versioning | Azure OpenAI | CI | CI Pipelines | CI/CD | Chunking | Cloud Security | EU AI | EU AI Act | Embedding Models | Fine Tuning | GRC | Go | Google Vertex | Google Vertex AI | Incident Response | Java | LLM Applications | Language Models | Large Language Models | MLOps | Model Quality | Model Quality Monitoring | NIST AI | NIST AI RMF | OWASP Top | OWASP Top 10 | OWASP Top 10 for LLM | OWASP Top 10 for LLM Applications | Prompt engineering | Python | Quality monitoring | RAG | SSDLC | SoC | Vector Databases | Vertex AI
Education
N/A
Roles
AI | AI Engineer | Engineer | Security | Security Engineer | Software Engineer
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