Go, Java, or similar - Professional experience building AI agent-driven product experiences, including conversational interfaces, tool-calling patterns, RAG, prompt engineering, evaluation or guardrail techniques, and agent orchestration connected to reliable backend and data systems - Professional experience with Model Context Protocols (MCPs), agent frameworks, orchestration layers, and integrating external tools and data sources into LLM-based systems - Machine learning experience, ideally in applied sett ings 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, and data sources in production environments - 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 communication skills, both verbal and written, with the ability to explain complex technical topics to cross-functional stakeholders in a remote or distributed environment #LI-JB1 #LI-Remote The salary for this role is dependent on geographic location and will be based on the individual candidate's job-related knowledge, skills, and experience. ** - Productionize, launch, and operate AI-based technology integrations into Cribl's core products with the goal of solving real customer problems - Partner with product & design leaders to prototype and experiment with new AI features - Stay up-to-date with the latest AI technologies and trends - This position will require stand-by, on-call, or off-hours duties **If You've Got It - We Want It** - 5+ years of professional software engineering experience building AI features end to end in production across product, backend, and model integration layers - Proven fullstack experience, including designing and scaling React-based UIs and backend services or APIs, with strength in backend and systems thinking - Deep expertise in TypeScript or JavaScript plus experience with at least one backend language or runtime such as Node.js,