Senior Software Engineer AI Agents Testing
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Job Summary
Job Description
At Zendesk were on a mission to build the most advanced AI agents in CX and the AI Agent Testing team within the AI Agents organization plays a critical role in ensuring those agents are reliable robust and ready to deliver real customer value. Our focus is on synthetic testing evaluation workflows validation frameworks and tooling that help us measure quality uncover failure modes and ship with confidence.
As a Senior Fullstack Engineer on this team youll be a key technical contributor shaping the systems tooling and workflows that power AI agent evaluation at scale. While this is a fullstack role it leans more on backend development as were looking for someone who is deeply comfortable with APIs event-driven systems testing infrastructure data workflows and platform thinking while also being able to design and deliver polished user-facing tools when needed.
Youll collaborate closely with product managers designers data engineers applied AI/ML partners and fellow engineers to build internal and customer-facing capabilities that improve the quality of our AI this role youll not only ship features end-to-end but also help shape technical direction raise the bar on engineering quality and influence how the team solves complex problems.
Your work will directly impact how Zendesk validates and improves its AI agents helping ensure our products are trustworthy measurable and effective.
What You Bring to the Role
5 years of experience building modern web applications using TypeScript React and .
Strong experience designing and building backend services APIs and event-driven systems.
Strong understanding of software engineering best practices including clean architecture testing strategy observability and maintainability.
Experience working across the stack and delivering polished performant accessible user experiences.
Ability to independently drive complex projects from ambiguity to execution while partnering effectively across functions.
Excellent communication skills proactive mindset and the ability to influence technical decisions align stakeholders and mentor other engineers.
You are a product-minded engineer you care deeply about the end-user experience and proactively contribute ideas to improve product outcomes.
Comfort working in fast-moving cross-functional environments and iterating based on feedback.
A drive for continuous learning reflection and improvement in both your own growth and your teams success.
You are eager to expand into ML engineering and learn how it connects to evaluation testing and the lifecycle of AI systems.
A big plus ifyou
Are familiar with AWS and comfortable with CI/CD pipelines.
Have a good understanding of microservice architecture event-driven systems and relational/NoSQL data modeling.
Have experience with AI agentic tools such as Cursor Claude Code and similar developer assistants.
Have experience with Python especially for testing automation data processing or scripting.
Have prior experience building evaluation systems synthetic testing pipelines or AI quality tooling.
How We Measure Success in This Role
You consistently deliver high-quality work on complex ambiguous problems with minimal guidance.
You raise the technical bar through thoughtful architecture strong testing practices and reliable system design.
You help the team make better technical decisions by identifying tradeoffs and proposing pragmatic solutions.
You contribute to the reliability scalability and observability of the systems the team owns.
You collaborate effectively across product design AI/ML and data and help align stakeholders around technical direction.
You mentor and support other engineers through code reviews design discussions and day-to-day collaboration.
You demonstrate strong ownership by driving work forward surfacing risks early and helping the team execute with confidence.
Our Tech Stack
Frontend: TypeScript React
Backend: (ES7) TypeScript MongoDB Snowflake
Infrastructure: AWS Kubernetes Terraform ArgoCD Sentry Redis Datadog GitHub Actions
Interview Process
We aim to make our hiring process clear and transparent:
Intro chat with Talent Partner 30 minutes
Interview with Hiring Manager 45 minutes
Technical stage is a theoretical interview a live coding challenge two times 60 minutes
Final interview with Hiring Manager and Senior Leadership 45 minutes
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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.
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 were 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 with your specific accommodation request.
Required Experience:
Senior IC
