Job Description

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.

Location: Poland, Gdansk

Contract type: B2B

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Key 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.

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Qualifications
- 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.
- Strong technical skills, including:
  - 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.

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Equal Opportunity Employer: 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.