AI Engineer
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Job Description
- Design and build LLM-powered analysis and classification pipelines, then productionize them as Go services.
- Prototype approaches in Python, including prompting strategies, RAG, structured extraction, and ML classifiers, and ship solutions that meet defined accuracy targets.
- Define ground-truth datasets, evaluation metrics, and regression suites to continuously measure and improve model quality.
- Monitor model quality and drift in production and build processes to identify and address degradation.
- Collaborate with security researchers to translate attack patterns and risk signals into detection and summarization logic.
- Integrate AI-powered capabilities with event, storage, and UI layers to surface actionable results to security teams.
- Use AI-assisted development workflows to accelerate implementation, testing, debugging, and experimentation.