Senior Quality Engineer

There are NO limits to your career: come shape the future and be part of a truly unique global culture at Out Systems!

Role Overview As a Senior AI Quality Engineer , you will be the strategic lead for quality within our AI-powered product ecosystem. This role extends beyond traditional QA responsibilities; you will be responsible for defining how we validate non-deterministic AI outputs and complex microservices. You will lead the integration of AI tools, utilizing applications like Claude Code, Cursor, and Gemini to evolve our SDLC toward high-velocity, AI-augmented delivery.

You will guide the quality strategy for high-impact initiatives, ensuring that our AI products are functional, reliable, ethical, and scalable.

Core Responsibilities AI-First Test Strategy & Planning:
Define and implement the end-to-end test strategy for major AI product areas. You will align testing goals with broader engineering objectives.

AI-Augmented Automation:
Provide technical leadership for complex automation challenges. You will support the adoption of Cursor and Claude Code to refactor frameworks, generate synthetic data, and automate the creation of sophisticated test suites.

Advanced Test Design:
Lead the team in designing coverage for AI-based features, including prompt injection testing, model hallucination checks, and performance benchmarking. You will mentor junior engineers on using Gemini to generate use cases.

Defect Management & Root Cause Analysis:
Lead triage for all defects. You will analyze trends in model behavior and system performance to implement systemic improvements to the development pipeline.

Intelligent CI/CD Quality Gates:
Define and enforce "smart" quality gates within the CI/CD pipeline. You will hold responsibility for automated suites, ensuring they are reliable, efficient, and capable of catching regressions in both code and model output.

Strategic Reporting & Mentorship:
Report on quality metrics and team velocity to stakeholders. You will document AI-testing standards and formally mentor the team on integrating Generative AI into their daily engineering workflows.

Scope, Complexity, and Impact Scope:
You will lead quality initiatives for an entire product module or end-to-end user workflows, establishing the quality framework for key components of our core AI engine.

Complexity:
You will solve systemic quality issues, balancing the mitigation of technical debt with the rapid pace of AI innovation.

Impact:
High. Your work directly influences team-wide velocity and ensures the long-term stability and trustworthiness of our AI products.

Required Qualifications AI Toolchain Expertise:
Advanced experience using AI coding assistants (Claude Code, Cursor) and LLMs (Gemini, GPT-4) to accelerate the SDLC.SDLC Leadership:
Proven track record of managing product delivery in an Agile environment with a focus on CI/CD and automated quality gates.

Technical Stack:
Proficiency in C#, Python or JavaScript and experience with modern testing frameworks (e.g., Playwright, PyTest).Autonomy:
Ability to drive initiatives from ideation to completion with minimal oversight, requiring only strategic alignment with leadership.

Education/

Experience:

5+ years in Quality Engineering or Software Development, with a significant focus on automated systems and AI-based applications.

Why Join Us?

We are evolving away from legacy testing mindsets. In this role, you have the autonomy to experiment with the latest AI tools to solve the most complex problems in software quality. If you want to build the blueprint for how AI-based products are delivered to millions of users, this is an ideal opportunity for you.

Salary Range (base): 204k - 235k Salary Determination:
Our salary range is based on industry standards, company performance, and market conditions. We offer competitive compensation packages to attract and retain top  determining salary ranges, we consider factors such as Market Research:
Industry reports, salary surveys, and online salary databases

Company Performance:
Financial performance, revenue growth, and budget allocation

Job Requirements:

Skills, experience, and qualifications necessary for the role Geographic

Location:

Cost of living, market conditions, and industry standards in our region

More about Out Systems Out Systems  is a leading AI Development Platform built for the enterprise. Global organizations trust Out Systems to rapidly build mission-critical apps and agents, modernize legacy processes with agentic systems, and govern their entire AI portfolio across complex regulatory environments, all on one unified platform.

As the future becomes agentic, our customers need us now more than ever. While AI has opened the door to extraordinary possibilities, most large organizations find themselves stuck on one side of the "enterprise gap" because AI by itself doesn't solve their complex use cases and business challenges. Out Systems bridges the "enterprise gap" by combining the speed of generative AI with a deterministic,…