Dashr.ai is an AI-powered compliance automation platform for mid-market enterprises. We are looking for an AI security engineer who can both secure AI systems and put AI to work inside our delivery engine — threat modeling client environments, building agent-assisted workflows on Foundry IQ, and producing audit-ready deliverables faster than any traditional consultancy can.
What you will do
- Threat model LLM pipelines, RAG architectures, and agentic workflows for Dashr.ai and clients
- Identify and document prompt injection, data poisoning, and model evasion risks
- Own and evolve Foundry IQ to automate security assessments, evidence collection, and compliance reporting
- Build AI-assisted workflows for client deliverables: risk registers, gap analyses, control mappings, and audit documentation
- Design prompts, knowledge bases, and agent instructions that produce consistent, high-quality outputs at scale
- Establish quality gates — human-in-the-loop checkpoints and output validation — so AI-generated deliverables meet audit standards
- Map AI risks to ISO 42001, NIST AI RMF, and SOC 2 controls and advise clients accordingly
What you bring
- 3+ years in cybersecurity — cloud security, pentesting, SIEM, IAM, or GRC
- Hands-on experience building or operating LLM, RAG, or agentic systems
- Fluent in Azure security — Key Vault, managed identity, RBAC, Defender
- Prompt engineering and AI knowledge base design experience
- Familiarity with OWASP LLM Top 10 and ISO 42001 or NIST AI RMF
- Clear written communication — findings a CFO can act on
- Async-capable, self-directed, closes loops without hand-holding
How we hire
- 30-minute conversation with the founding team
- Paid 2-week assessment project drawn from live work — no whiteboard puzzles