Senior AI Validation Engineer

Senior AI Validation Engineer Miejsce pracy: Gdańsk Technologies we use Expected RAG systems About the project We are seeking a highly skilled AI Validation Engineer to ensure the quality, reliability, and compliance of advanced data ingestion pipelines and Retrieval-Augmented Generation (RAG) application deployments. This role is critical to guaranteeing that our AI systems meet rigorous performance and regulatory standards, while driving innovation in validation practices. Your responsibilities Develop validation strategies: Design comprehensive validation master plans and test strategies covering the full RAG system lifecycle, from data ingestion to model deployment. Pipeline and database validation: Execute performance qualification for data pipelines (batch and streaming), vector databases (e.g., Pinecone), and RAG application components. Data quality assurance: Validate ingestion processes to ensure accurate collection, transformation, and loading of data, including schema validation, error handling, and quality checks. Application testing: Conduct functional and non-functional testing of RAG applications, focusing on retrieval workflows, prompt engineering, embedding strategies, and response accuracy. Documentation and compliance: Maintain detailed records of validation activities, test results, deviations, and corrective actions to ensure compliance with industry standards and internal quality systems. Cross-functional collaboration: Partner with data scientists, ML engineers, software developers, and product managers to define requirements, troubleshoot issues, and drive continuous improvement. Our requirements Bachelor's degree in Engineering, Computer Science, Data Science, or a related technical field. Fluency in Polish, with the ability to work effectively on Polish LLM projects. Proven experience as a Validation or QA Engineer, ideally in data quality or testing within regulated or high-tech environments. Proficiency in Python and SQL for data tasks Experience with data orchestration tools Familiarity with cloud platforms Knowledge of vector databases and embedding techniques for RAG systems Understanding of SDLC and QA methodologies Preferred: Experience with AI/ML testing frameworks and automation tools. What we offer Flexible benefits package tailored to your needs (Multisport card, shop vouchers, etc. via MyBenefit cafeteria) Premium medical services for employees and family members (Lux Med) Life and Disability Insurance for employees and family members (Generali) Capital Pension Plan (PPK) with up to 4% employer contribution Social Fund benefits including holiday bonuses, kindergarten allowances, and Christmas bonuses Variable Pay as part of annual compensation: quarterly bonus based on company performance Co-financing for glasses Access to internal and external learning platforms such as Udemy, WiLearn, HMM, and FutureSkills Employee Assistance Program and Fit app for wellbeing Fresh fruits available at the office Employee referral bonuses Relocation assistance including accommodation, travel, and other covered expenses Allowances where applicable: foreign language, on-call, call-out, morning/evening/night shift, overtime work, and business travel Annual company integration event for employees and families combined with CSR impact (Spirit of Wipro Run) Friendly and inclusive company culture Benefits private medical care life insurance remote work opportunities fruits Wipro is an Equal Opportunity Employer. We provide consideration for all qualified applicants regardless of race, color, religion, gender, marital status, age, ethnicity, national origin, sexual orientation, political views, disability, or any other characteristic protected by law. Internal Reporting and Whistleblower Protection Wipro IT Services Poland Sp. z o.o. adheres to the Internal Reporting and Whistleblower Protection Regulations. Candidates can submit internal reports via email to ombuds.person@wipro.com, through the Internet at www.wiproombuds.com, or by post/courier to Wipro's registered office.