AI Engineer – Agentic AI & Cloud Discovery

📋 Description

• Design and build LLM-powered analysis and classification pipelines, then productionize them as Go
• Prototype approaches in Python, including prompting strategies, RAG, structured extraction, and ML
• Define ground-truth datasets, evaluation metrics, and regression suites to continuously measure and
• Monitor model quality and drift in production and build processes to identify and address
• Collaborate with security researchers to translate attack patterns and risk signals into detection
• Integrate AI-powered capabilities with event, storage, and UI layers to surface actionable results

🎯 Requirements

• 4+ years of software engineering experience, including 2+ years shipping LLM- or ML-backed features
• Strong Go skills for production backend services and strong Python skills for experimentation and
• Hands-on experience with LLM APIs, prompt engineering, structured outputs, and RAG.
• Experience evaluating LLM/ML systems through offline evaluations, human review, regression suites
• Understanding of AI agent architectures, including tool calling, MCP or similar protocols
• Experience with cloud-native deployment using Docker, Kubernetes, and AWS, GCP, or Azure.

🎁 Benefits

• Work on a greenfield product at the intersection of cybersecurity and agentic AI.
• Turn cutting-edge LLM/ML approaches into production systems protecting enterprise customers.
• Work across both AI experimentation and production engineering, from Python prototypes to Go
• Take ownership of a key workstream and influence architecture from an early stage.
• Collaborate with a highly technical, distributed team where AI is a core part of the development