Principal Software Engineer – Test

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November 24

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Invisible Technologies Inc.

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Artificial Intelligence • SaaS • Enterprise

Invisible Technologies Inc. is a rapidly growing company that integrates world-leading AI with global human talent to enable AI adoption for enterprises. By combining artificial intelligence with human expertise in an integrated platform, Invisible Technologies focuses on training AI models, automating processes, and enhancing digital operations. The company's services include AI training, enablement, and intelligent operations solutions, catering to various industries such as financial services, healthcare, eCommerce, and technology. With significant growth recognized by the Deloitte Technology Fast 500 in 2024, Invisible Technologies helps organizations achieve transformational outcomes and significant ROI through expert process automation and AI solutions.

51 - 200 employees

Founded 2015

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

📋 Description

• Design, implement, and own the testing architecture across the AI platform, spanning backend, APIs, data pipelines, and AI models • Build and scale automation frameworks to support unit, integration, regression, performance, and AI-specific testing • Develop test strategies that balance reliability, speed, and coverage for complex, dynamic, and data-heavy systems • Create simulation and sandbox environments to test AI workflows and orchestration logic • Integrate automated testing into CI/CD pipelines, enabling confident, rapid deployments with safety guarantees • Lead root cause analysis and implement practices that prevent regressions across systems and features • Champion a quality-balanced culture and mentor engineers in best practices for building robust, testable systems

🎯 Requirements

• 10+ years of experience in software quality engineering, test automation, or systems testing roles • Expertise in test automation frameworks (e.g., Pytest, Playwright, etc.) and infrastructure-as-code pipelines • Strong programming skills in Python, JavaScript/TypeScript • Experience designing and validating tests in distributed, event-driven, and microservices architectures • Familiarity with testing in AI/ML systems, including model output validation and behavior-driven testing. • Experience with containerized environments (Docker), and cloud platforms (AWS/GCP/Azure) • Strong understanding of CI/CD systems (particularly Git,) and modern observability tooling (e.g., Grafana, Prometheus) • Excellent problem-solving, debugging, and documentation skills • A track record of technical leadership and mentoring in cross-functional environments • Nice to have: Experience testing large-scale AI frameworks, LLM integrations, or decision systems • Exposure to tools like dbt, Spark, or DataDog • Contributions to open-source testing tools or quality initiatives • Deep curiosity about LLM behavior, autonomous systems, and human-in-the-loop testing strategies • A desire to develop the most consequential AI software system of the future!

🏖️ Benefits

• Bonuses and equity are included in offers above entry level • Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions