OpenCTI AI Engineer for RAG and Agent pipelines
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About this role
Python, Amazon Web Services, React.js, Technical Documentation, Predictive Analytics, CI/CD, Agentic AI · I need an experienced Python engineer who already knows their way around OpenCTI and can embed advanced, agent-based AI capabilities into the platform. The immediate focus is on predictive analytics: building modules that surface anomalies in threat-intel data, fire real-time alerts, and forecast emerging patterns so we can stay ahead of attackers.
The work will sit on AWS, so please be fluent with the usual services (Lambda, ECS/EKS, S3, DynamoDB or RDS) and comfortable wiring everything together with infrastructure-as-code. Retrieval-Augmented Generation (RAG) techniques will power part of the solution, so you should understand vector stores, embeddings, and prompt engineering well enough to fine-tune them for security data.
Core deliverables • Python micro-services or OpenCTI connectors that perform anomaly detection and trend forecasting • A RAG pipeline that enriches results with external intelligence sources • Automated tests plus deployment scripts for a frictionless push to our AWS environment • Brief technical runbook so my team can maintain and extend what you build
Acceptance criteria 1. Models detect and alert on outliers with <5 % false-positive rate again