About the role

QA Engineer ensuring quality and reliability of web applications and AI decision logic at Future Works. Collaborating with cross-functional teams to build automated test frameworks for production-ready AI outputs.

Responsibilities

Design and maintain automated test coverage across APIs, front-end workflows, data pipelines, and decision-engine behaviour to support rapid, reliable delivery.
Test the web application across core user journeys, including planner workflows, tabular outputs, visualizations, authentication, role-based access, and general usability under real operating conditions.
Build automated evaluation frameworks for non-deterministic AI output, using scenario libraries, expected-behaviour rules, and regression baselines to assess output quality at scale.
Validate model recommendations against historical baselines and comparison scenarios to ensure the system is producing credible and explainable outputs.
Test allocation logic, exception handling, edge cases, and business-rule behaviour to ensure recommendations remain valid under real operational constraints.
Verify that savings calculations, cost deltas, and value-realization outputs reconcile cleanly against agreed baseline and reporting logic.
Own defect tracking, test evidence, regression coverage, and release sign-off so the platform is safe, reviewable, and ready for use.

5+ years of experience in QA Engineering, Software Quality Assurance, or Test Automation, with a strong track record of building reliable automated test coverage for production systems.
Hands-on experience with modern test automation frameworks, API testing, UI testing, regression testing, and CI/CD-based quality workflows.
Strong experience testing web applications, including workflow validation, browser compatibility, role-based access, and data-heavy interfaces.
Experience testing AI-enabled systems where outputs are non-deterministic and quality must be verified through structured evaluation frameworks rather than simple pass/fail assertions.
Strong ability to compare outputs against baselines, identify failure patterns, and translate ambiguous system behaviour into actionable defects and test rules.
Proven ability to test across application code, data pipelines, model services, and business-rule layers rather than focusing only on the user interface.
Previous experience working with supply chain, logistics, fulfilment, or ERP-driven operational workflows is highly preferred.
Good judgment around traceability, auditability, and release control in environments where system behaviour must be explainable and reviewable.
Comfort utilizing LLM code assistants and agentic engineering to improve test design, coverage generation, and defect analysis.

Work from anywhere, forever - We are a fully remote and global team. We trust you to manage your time and energy to deliver exceptional results.
Connect deeply - We gather for immersive, all-expenses-paid company retreats in unique locations to connect, learn, and grow together.
Share in the upside - A competitive compensation package including equity, bonuses, substantial participation in company profits with a clear growth path to C-Level leadership based on performance.