Ent
AI Engineer
Remote · Remote · Full-time · Posted Aug 1, 2026
About the job
Productionize, evaluate, and operate AI models for real-time security decisions on endpoints and deeper investigation in the cloud.
What you'll do
- Reimplement research models and algorithms as tested production code, verifying parity with the originals.
- Own model evaluation, release gates, monitoring, retraining, and quality measurement after launch.
- Build reproducible training and inference pipelines, optimizing models for endpoint resource limits and cloud scale.
What they ask for
- Track record of designing and owning end-to-end systems.
- Experience training, evaluating, and deploying your own models in production; integrating LLM APIs alone is insufficient.
- Ability to understand algorithms’ math and logic and implement them as correct, tested production code; strong model-evaluation skills.
- Strong Python skills and experience with at least one systems or backend language (C/C++, Java, Rust or Go).
Nice to have
- Edge or resource-constrained inference experience, such as ONNX Runtime, llama.cpp, Core ML, TensorRT, or OpenVINO.
- Experience with data or inference pipelines at scale, production LLM or agentic systems, or security.
Tools
Python, C++, Java, Rust, Go, ONNX Runtime, llama.cpp, Core ML
AI focus
Production AI for security: endpoint models make real-time decisions, while cloud models and agents support deeper investigation and response. Work includes model deployment, evaluation, monitoring, retraining, and efficient inference.
Model-written summary · the original posting is authoritative