Sr Software Engineer, Cribl AI

About the role

As a Senior Software Engineer on the Cribl AI team you will build, productionize, and operate AI‑driven features across frontend, backend, and model layers, prototype agent‑driven experiences, integrate LLMs and external data sources, and collaborate closely with product, design, and the founding team while participating in on‑call duties.

About the company

Cribl is the AI Platform for Telemetry, helping IT and security teams at many of the world’s biggest enterprises—including half of the Fortune 100—bridge AI ambition and infrastructure reality. It is a fast‑growing private company with a global, remote‑first workforce that values curiosity, collaboration, and a people‑first software culture.

Requirements

• 5+ years professional software engineering experience building AI features end‑to‑end in production across product, backend, and model integration layers
• Proven full‑stack experience designing and scaling React‑based UIs and backend services/APIs with strong systems thinking
• Deep expertise in TypeScript or JavaScript and experience with at least one backend language/runtime such as Node.js, Go, Java, or similar
• Professional experience building AI agent‑driven product experiences (conversational interfaces, tool‑calling, RAG, prompt engineering, evaluation/guardrails, agent orchestration) connected to reliable backend and data systems
• Experience with Model Context Protocols (MCPs), agent frameworks, orchestration layers, and integrating external tools/data sources into LLM‑based systems
• Machine‑learning experience in applied settings where models or AI systems were shipped, integrated, evaluated, or operated in production
• Familiarity with data and infrastructure patterns for AI systems, including databases, APIs, observability, and integrating external tools/services in production
• Ability to problem‑solve from first principles, make sound engineering trade‑offs aligned with product and business goals, and drive work independently through ambiguity
• Excellent verbal and written communication skills, able to explain complex technical topics to cross‑functional stakeholders in a remote environment