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AI Senior QA

Hiver

Job Location:

Bengaluru - India

Monthly Salary: Not provided by the employer

Posted: 20 September 2026 (22 hours ago)

Application Deadline: 18 December 2026

Vacancies: 1 Vacancy

Job Summary

About us:

Hiver is a modern AI-driven customer service platform used by companies across healthcare finance logistics education and technology. We help teams deliver fast human support across email chat phone WhatsApp and more without the complexity of legacy helpdesks.

Were a challenger brand in a category dominated by over-engineered tools. We build software that is simple powerful and genuinely helpful and we operate internally with that same philosophy. If you want meaningful ownership thoughtful teammates and work that ships Hiver is a great place to do it.

Opportunity:

We are looking for a AI Senior QA Engineer who will play a critical role in ensuring high product quality reducing release risks and scaling automation across teams. This is a hands-on high-ownership individual contributor role where you will influence quality practices collaborate deeply with engineers and act as a quality champion within your product role goes beyond test executionyou will help define how quality is built into the system while still being deeply involved in automation debugging and release rreadiness.

Key Responsibilities

What you will do

Quality Ownership & Execution
Own end-to-end quality for assigned product areas/features.
Design review and execute comprehensive test strategies (functional regression integration).
Lead feature-level release sign-offs in collaboration with engineering and product.
Actively debug failures across UI backend and APIs to identify root causes.
Work closely with Customer Support to reproduce analyze and prevent customer-reported issues.
Automation & Engineering Excellence
Build extend and maintain automated test suites for UI API and backend services.
Improve test reliability by identifying and fixing flaky tests.
Drive reduction in manual regression time through automation ROI.
Integrate automated tests into CI/CD pipelines and ensure fast feedback cycles.
Collaborate with developers to shift quality left (testability better coverage early validation).

Key Requirements

What were looking for

4 years of experience in software quality engineering.
Hands-on QA experience on customer-facing AI features such as agents copilots RAG or classification.
A track record of building and maintaining golden datasets from real customer data.
Experience designing evals: rubrics LLM-as-judge and regression runs on every prompt or model change.
Strong coded automation (Python or TypeScript pytest or Playwright CI) that replaces manual QA.
The judgement to own the release bar for a non-deterministic product.

Good to Have skills

Experience with eval and observability tools such as Langfuse LangSmith Braintrust Ragas DeepEval or promptfoo.
Red-teaming and safety testing: prompt injection jailbreaks PII leakage and bias.
Background in B2B SaaS customer support or helpdesk products.
Synthetic test data or conversation generation and using LLMs to generate test cases.
Production quality monitoring including sampling live traffic human review loops and quality dashboards.
Working knowledge of how LLM features are built (prompts RAG tool calling) so failures can be traced to a cause.
I kept these out of the screening gates so they only help rank candidates who already pass. I can add them to the skill as tie-breakers if you want.

Required Experience:

Senior IC

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