> Markdown version of [/jobs/ext/3760483-sr-software-engineer-cribl-ai](https://www.wearedevelopers.com/jobs/ext/3760483-sr-software-engineer-cribl-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Software Engineer, Cribl AI - **Company:** Cribl, Inc. - **Location:** Little Rock, AR, United States (Remote available) - **Experience:** Expert - **Salary:** $185,000.0 - $215,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Databases, Data Systems, Machine Learning, Node.Js, Software Engineering, Systems Integration, TypeScript, ReactJS, Retrieval-Augmented Generation, Prompt Engineering, Generative AI, Backend, Agentic-AI, Virtual Agents, Golang - **Published:** October 15, 2026 - **Apply:** https://www.disabledperson.com/jobs/76060236-sr-software-engineer-cribl-ai ## About the Role * 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 #LI-JB1 #LI-Remote