About the role We are a ~15-person health-tech B2B
platform running a serverless-first AWS stack (Lambda, API Gateway,
RDS, Amplify, Cognito).

We're looking for a QA Engineer / SDET who
writes test code, owns test infrastructure, and is fluent in using
AI tooling to author and maintain tests — as well as testing
AI-powered features themselves.

You'll be the person who turns "we
keep shipping regressions" into a durable, automated safety net.

This is a hands-on, code-writing role.

You'll work directly with a
small engineering team and own QA strategy end-to-end.

What you'll
do Design and maintain end-to-end and regression test suites in
Playwright (our current framework), including using `codegen` and
AI-assisted authoring to accelerate coverage.

Use AI tooling
(LLM-based test generation, self-healing selectors, AI code
assistants) to reduce the cost of writing and maintaining tests —
with judgment about where AI helps and where it introduces
flakiness.

Test LLM- and MCP-powered product features: build
evaluation harnesses, define quality bars for non-deterministic
outputs, and design guardrail/regression checks for
natural-language and agent-driven workflows.

Attack our three
standing testing gaps: mock drift, untested Lambda infrastructure,
and recurring regressions that ship without accompanying tests.





Build post-deploy smoke tests and contract tests against our
integration layer (Hub

Spot, Dwolla, Intercom, Post

Hog, Slack).

Partner with engineering to enforce a Definition of Done that
requires tests, and embed QA into the sprint cadence rather than
bolting it on at the end.

Must-have Strong Java

Script/Type

Script;
you write and maintain test code, not just test plans.

Production
experience with Playwright, Cypress, or equivalent modern E2E
frameworks.

Hands-on experience using AI tools in a real testing
workflow (test generation, maintenance, or triage).

Experience
testing non-deterministic / AI-powered systems, or a clear,
credible approach to how you'd do it.

Comfort in AWS serverless
environments (Lambda, API Gateway) and testing distributed
integrations.

Ability to own strategy independently in a small
team.

Nice-to-have Experience with LLM evaluation frameworks or
building eval/guardrail systems. MCP or agent-based tooling
familiarity.

Prior QA-in-a-startup experience where you built the
function from scratch.

Health-tech, fintech, or regulated-industry
background.

Why this role You'll own QA at a company that treats
testing as an engineering problem, not a checkbox — with real
autonomy, a modern stack, and a mandate to bring AI into the
workflow deliberately.

📌 AI QA Engineer (Peru) (Perú)
🏢 Murano Global
📍 Perú