Software Engineer in Test – AI Services, Healthcare

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🕒 May 1

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opinov8

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2017

🤝 B2B

🏢 Enterprise

B2B • Enterprise

opinov8 is a global digital and engineering solutions company specializing in custom software, cloud, and data services. Headquartered in London with development centers and remote teams across Ukraine, Egypt, Colombia, Portugal and the EU, opinov8 partners with businesses worldwide to accelerate digital transformation through custom engineering, cloud migrations, and data-driven solutions. The company operates as a remote-first B2B services provider serving clients across sectors such as finance, healthcare, logistics, and media.

📋 Description

• Design and implement model validation frameworks: accuracy, precision, recall, F1 across clinical subgroups (age, hearing loss severity, device type) • Write regression tests for model updates — detect silent accuracy degradation before any deployment to production • Design adversarial test cases: edge cases, out-of-distribution inputs, boundary conditions, and clinically implausible inputs • Design and maintain API test suites for AI feature endpoints consumed by the PMS frontend and microservices • Write contract tests between AI services and consuming services — prevent integration breakage when models are updated or retrained • Test latency, throughput, and graceful degradation under load • Validate error handling: model confidence thresholds, fallback behaviour when models are unavailable or return low-confidence outputs • Collaborate with the AQA on shared Playwright E2E coverage for AI-integrated UI flows • Design testing evidence for ISO 42001 AIM - Traceability from AI system requirements to test cases to results, supporting audit and certification • Design and implement model monitoring pipelines - track accuracy, confidence distribution, and prediction drift in production against baseline • Contribute to post-incident reviews when AI features cause unexpected clinical workflow impacts or regulatory flags • Feed production monitoring findings back into the regression test suite to prevent recurrence and improve model robustness

🎯 Requirements

• 5+ years in software testing • 1+ years specifically testing AI/ML systems, data pipelines, or model-serving APIs • Proficiency in automation frameworks: .NET, TypeScript / Playwright for AI-integrated UI coverage • Experience with API testing: contract testing, latency profiling, error scenario coverage • Deep understanding of QA methodologies, processes, and CI/CD practices • Understanding of service-oriented and microservice architectures • Understanding of ML fundamentals: train/test splits, evaluation metrics (precision, recall, F1, AUC) • Strong problem-solving and debugging skills, including backend and frontend issue investigation • Ability to think like an end-user and test accordingly, especially when product requirements are minimal or evolving • Strong communication in English (B2+).

🏖️ Benefits

• Long-term engagement in a stable, growing SaaS company • Remote-first and async-friendly with flat organizational structure • High bar for engineering and product quality • A team that values depth over hype: production quality over flashy prototypes • A culture that values personal growth as much as business outcomes • A global team that spans Denmark, Ukraine, UK, Poland, Canada, Australia, USA, and more.