Qualifications
Responsibilities
Benefits
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 ResponsibilitiesAI-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.
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.
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.
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 talent.
In 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
Our team will look into this right away.
