Description

Join as the first engineer and researcher behind GenAI Protect, building LLM-powered discovery, classification and policy-enforcement services that secure enterprise generative-AI usage.

Responsibilities

• Design and implement scalable inference services (Python/FastAPI, Triton, ONNX) with GPU orchestration.
• Develop and fine-tune transformer models for prompt inspection, PII/red-flag detection and intent analysis.
• Collect datasets, build evaluation pipelines and drive continuous model improvement.
• Collaborate with Threat-Intel and Product to respond to emerging GenAI attack vectors.
• Publish internal/external tech blogs; help hire and mentor future AI-security engineers.

Desired Background

• 8+ yrs software/ML engineering- deep hands-on with PyTorch/TensorFlow and NLP.
• Experience deploying ML in low-latency SaaS environments under compliance constraints.
• Strong background in data-privacy, DLP or AI-security research; publications/patents a plus.
• Self-starter comfortable defining architecture, tooling and roadmap from scratch.