Staff Software Engineer, Applied AI
Core
Architect and build intelligent security agents (Hai) that reason, act, and learn to identify, validate, and remediate vulnerabilities in code, cloud, and AI systems.
Role type
Staff IC Applied AI Engineer (Agentic AI)
Builds
Autonomous security agents, agentic AI frameworks, AI red-teaming tools, and platform integrations for vulnerability discovery.
Domain
Cybersecurity / AI Security / Agentic Systems
Deliverable
production ML models
Required skills
Large language models (LLMs), generative AI, machine learning frameworks (TensorFlow, PyTorch, Transformers), AI platform engineering, MLOps, model serving, AI safety and alignment, API design, system architecture
Preferred skills
Agentic orchestration (ReAct, AutoGen, Semantic Kernel), agent action routing, prompt engineering, fine-tuning, RAG, cloud AI/ML services (AWS Bedrock, GCP Vertex AI, Azure ML), containerization (Docker, Kubernetes), Ruby on Rails, GraphQL, React
Technologies
TensorFlow, PyTorch, Transformers, ReAct, AutoGen, Semantic Kernel, AWS Bedrock, GCP Vertex AI, Azure ML, Docker, Kubernetes, Ruby on Rails, GraphQL, React
Responsibilities
Architect autonomous security agents with natural-language reasoning; integrate agentic AI design patterns (orchestration, memory, RAG); design AI red-teaming frameworks; build APIs for AI model interaction; establish metrics and evaluation loops for model performance.
Seniority
Staff, hands-on IC with strategic impact
