Senior Fullstack Engineer, Solve
Zendesk is hiring a Senior Fullstack Engineer, Solve in Austin, United States. It pays $145k-$217k a year and Level rates it ; you can apply on Zendesk.
Level's read on this job
- Builds AI ●●●● is how Level rates this software engineer role: the job is building AI systems.
- Tools and skills the posting cites include OpenAI, Python and React.
- Level classifies it as a senior role.
- Level lists 125 other open roles at Zendesk.
AI in this role
Senior Fullstack Engineer needed to build and optimize Zendesk's AI-powered conversation engine, spanning LLMs, RAG, and React frontends.
Job Description
About the Role
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.
We’re seeking a Senior Fullstack Engineer to help build Solve — an AI-powered conversation engine that resolves customer issues across channels. You’ll deliver end-to-end features spanning LLM integrations, RAG retrieval, workflow orchestration, and polished front-end experiences that customers rely on to automate support.
What you’ll be doing
● 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.
Basic qualifications
● 3+ years professional fullstack engineering experience with production ownership.
● Proficiency with Python backend frameworks (FastAPI recommended) and
React/TypeScript frontends.
● Experience with search, caching, and message/event streaming technologies.
Preferred qualifications
● 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.
The intelligent heart of customer experience
Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.
Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.
As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.
Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here.
Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to peopleandplaces@zendesk.com with your specific accommodation request.
How we rate this
Senior Fullstack Engineer, Solve at Zendesk rates 80 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- This job starts at
- $145k
- Typical software engineer job
- $167k
This posting starts 13% below the typical software engineer job. See software engineer jobs
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How have you integrated a large language model into a production application?
- Tell me about a project where fullstack engineering was part of your work. What did you do?
- Tell me about a project where llm was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Prompt engineering, RAG, LLM Integration, Fullstack Engineering, and LLM. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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