Origin
11 - 50 employees
Founded 2025
🔒 Cybersecurity
🤖 Artificial Intelligence
🏢 Enterprise
Cybersecurity • Artificial Intelligence • Enterprise
Origin is an endpoint observability and security platform for agentic AI. It gives operational intelligence about AI agents and local MCP servers across a fleet, discovering sanctioned and unsanctioned installs, attributing every action (prompts, tool calls, file changes, network calls) to the user and agent, and reconstructing end-to-end traces. Origin surfaces security risks, audit-ready logs, and AI spend analytics so CISOs, CIOs, and developers can govern AI adoption across enterprises. It runs at the endpoint layer and emphasizes continuous visibility, attribution, and cost/usage clustering.
Software Engineer
🕒 4 days ago
🇺🇸 United States – Remote
💵 $170k - $360k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🧑💻 Full-stack Engineer
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Origin
11 - 50 employees
Founded 2025
🔒 Cybersecurity
🤖 Artificial Intelligence
🏢 Enterprise
Cybersecurity • Artificial Intelligence • Enterprise
Origin is an endpoint observability and security platform for agentic AI. It gives operational intelligence about AI agents and local MCP servers across a fleet, discovering sanctioned and unsanctioned installs, attributing every action (prompts, tool calls, file changes, network calls) to the user and agent, and reconstructing end-to-end traces. Origin surfaces security risks, audit-ready logs, and AI spend analytics so CISOs, CIOs, and developers can govern AI adoption across enterprises. It runs at the endpoint layer and emphasizes continuous visibility, attribution, and cost/usage clustering.
📋 Description
• Obsess over customer problems and ship for velocity and impact • Ship across the stack - agent, backend, infrastructure, and frontend • Build internal agents that automate repeatable parts of engineering • Define how AI-native engineering works at Origin • Design and operate distributed systems using AWS, EKS, Clickhouse, and Kafka • Drive technical decisions on storage schemas and API contracts • Work alongside research and systems-internals engineers to turn their work into reliable production software
🎯 Requirements
• AI-native engineering practice • Track record of building data-intensive systems at scale • Deep understanding of distributed systems principles • Performance engineering mindset • Modern systems programming experience, Rust preferred • Strong working fluency in Python • Production experience with cloud infrastructure (AWS preferred) • Comfortable working in React frontend • High agency with a track record of identifying important work
🏖️ Benefits
• generous healthcare • flexible PTO • home-office support
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