Senior AI Engineer
Core
Design and ship production-grade autonomous AI agent systems for secure, real-time interaction with critical systems in air-gapped networks.
Role type
Senior IC AI Engineer (Agentic Systems & Edge Inference)
Builds
Autonomous AI agents, multimodal inference pipelines, and edge coordination systems for network security
Domain
Cybersecurity / AI Agents / Edge Computing
Deliverable
production ML models
Required skills
Agentic system design, multimodal inference optimization, embedding pipelines, vector storage, hybrid retrieval, Python, Postgres, real-time client channels, async/event-driven backends, multithreading, dynamic resource management
Preferred skills
Vision-language models, edge hardware (Jetson/NVIDIA), vLLM/TensorRT, video streaming (WebRTC/GStreamer), networking/cybersecurity, model fine-tuning
Technologies
NVIDIA hardware, Postgres, WebSockets, SSE, vLLM, TensorRT, WebRTC, GStreamer (via careerplan.io/jobs/7A-00E-D9-960-senior-ai-engineer-at-zeroport)
Responsibilities
Design end-to-end agent systems (perception, reasoning, memory, retrieval), optimize multimodal inference for edge latency, architect multi-edge unit coordination, build air-gapped lifecycle management, run focused research on open-source models
Seniority
Senior, hands-on IC
