AI Software Developer in Test - Vice President
About the Role iCapital is looking to hire a Software Developer in Test to work on the iCapital platform. This individual will bring practical knowledge of agile development methodologies and engineering best practices. This role will work closely with the Development and Testing team. The ideal candidate is a combination of a hands-on test engineer who has some managerial experience, and who can understand existing automation test frameworks and has an ability to enhance and implement the same and should also be able to work with other engineers and product managers to support feature-based testing. Responsibilities Build and implement robust automated test suites for API and backend services. Design and implement test strategies for AI/ML models and AI enabled in-house applications, including validation of model outputs, prompt behavior, determinism, and regression across releases. Establish automated evaluation frameworks for AI systems (i.e. accuracy, consistency, hallucination detection, bias, and drift) and integrate them into CI/CD pipelines. Partner with AI/ML Engineers, Platform teams, and Governance stakeholders to ensure responsible AI practices, including testability, traceability, and production readiness of AI features. Integrate automated test suites into existing GitLab CI/CD pipelines and deployment workflows. Maintain and improve automation frameworks to accommodate evolving system architecture, including blockchain based components. Collaborate with developers, product managers, and DevOps engineers to ensure testability and quality across distributed systems. Create and manage defect workflows integrated with tools such as JIRA, ensuring clear communication and traceability. Define, track, and publish meaningful QA metrics to support automated test development, execution, and overall quality reporting. Build and maintain performance and load testing suites for critical backend services and smart contract interactions where applicable. Perform all types of testing as needed like Functional, API, Automation, Performance, and Integration testing. Contribute to continuous improvement of QA processes, tooling, and best practices within an Agile environment. Qualifications 10+ years of experience with QA engineering delivery experience with strong focus on backend or API testing 6+ years of delivery within Agile SDLC teams ideally with CI/CD Experience testing AI/ML or LLM‑powered systems, including model validation, prompt testing, regression testing of AI behavior, and evaluation of non‑deterministic outputs Familiar with AI testing techniques and metrics such as precision and recall, drift detection, bias assessment, and offline vs online evaluation approaches Working knowledge of AI‑enabled development tools or platforms (i.e. AI coding assistants, test‑generation tools, or internal AI platforms) and their impact on SDLC and quality governance Strong experience testi...