We are currently seeking a Python Developer – LLM & MCP Integration to contribute to the success of our rapidly growing business.
This role focuses on building backend services and LLM-integrated functionality that plug into our existing MCP platform, enabling advanced AI-driven product capabilities across our security offerings.
As a Python Developer – LLM & MCP Integration, you will:
Build and maintain Python-based backend services that integrate with the MCP platform.
Own the end-to-end data and logic pipeline behind these AI-powered capabilities.
Design and maintain Vector Database ingestion pipelines for product documentation and knowledge content.
Normalize and structure security events to support accurate LLM explanations and summaries.
Ensure solutions meet our security, scalability, and reliability standards.
Requirements:
An insightful and influential collaborator to join our team. We encourage you to apply for this position if you have the following qualities:
Excellent Python development skills and experience building production-grade backend services.
Hands-on experience implementing MCP tools in Python and integrating them with LLM-based workflows.
Experience working with Vector Databases and embedding pipelines.
Strong understanding of backend APIs, data processing, and content structuring.
Advantage: Knowledge of EDR concepts, security events, and general cybersecurity fundamentals.
An insightful and influential collaborator to join our team. We encourage you to apply for this position if you have the following qualities:
Excellent Python development skills and experience building production-grade backend services.
Hands-on experience implementing MCP tools in Python and integrating them with LLM-based workflows.
Experience working with Vector Databases and embedding pipelines.
Strong understanding of backend APIs, data processing, and content structuring.
Advantage: Knowledge of EDR concepts, security events, and general cybersecurity fundamentals.
This position is open to all candidates.



















