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# Senior Fullstack Engineer, Solve

- **Company:** Zendesk
- **Location:** Austin, TX, United States (Remote available)
- **Experience:** Expert
- **Salary:** $145,000.0 - $217,000.0
- **Contract:** Permanent contract
- **Skills:** Abstraction Layers, Artificial Intelligence, Software as a Service, Data Visualization, Design of User Interfaces, Human-Computer Interaction, OpenAI, Rich Text Format, Data Streaming, TypeScript, ReactJS, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Caching, Backend, Fastapi, Front End Software Development, Zendesk
- **Published:** October 30, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-fullstack-engineer-solve-austin-tx--b6c60e1c-5ab3-44eb-ab41-fb276957ee24

## About the Role

Customer Experience, ZenDesk, Product Development, Automation, Artificial Intelligence (AI), Resolve Customer Issues, Conversation Engine, User Interface/Experience (UI/UX), Construction, Data Visualization, 3+ years professional fullstack engineering experience with production ownership. Proficiency with Python backend frameworks (FastAPI recommended) andReact/TypeScript frontends. Experience with search, caching, and message/event streaming technologies., Previous experience with LLM providers (OpenAI, Google GenAI, etc.) and prompt engineering. Experience designing visual flow editors (React Flow or similar) and rich text editors. Familiarity with embedding stores and retrieval pipelines at scale. Prior work on multi-tenant SaaS and real-time streaming systems.

## Description

Join us at Zendesk, where we're on a mission to power exceptional service for every person on the planet. We're accelerating that ambition by building products rooted in AI, automation, and intelligent customer experiences, because behind every interaction lies an opportunity to make a human connection., Extend the multi-turn conversation engine: manage intent routing, context preservation,streaming responses, and human handoff across channel integrations. Build and optimize the RAG pipeline: embeddings, semantic retrieval, hybrid ranking, and evidence-based answer construction to reduce hallucinations. Architect and implement the visual workflow/prompt builder experience (React) for designing branching conversational flows and tool integrations. Integrate with LLM providers through a unified abstraction layer and build specialized prompt strategies for tasks like clarification and validation. Create data visualization and analytics surfaces to help customers monitor intent performance and AI impact. Maintain high quality via testing, observability, and performance improvements across frontend and backend.