Cribl is building the telemetry infrastructure for the AI era, partnering with IT and Security teams at major enterprises. The role involves working with a skilled engineering team to integrate Generative AI technologies into Cribl's product suite, focusing on customer-centric solutions.
Responsibilities:
- 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
Requirements:
- 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, 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 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, 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