Role & responsibilities

- Solid experience in Automation, functional, integration, regression, and API testing.

- Experience with API testing using Postman, REST Assured, SoapUI, Swagger, or similar tools.

- Experience testing REST APIs, WebSockets, event streams, and asynchronous workflows.

- Basic SQL knowledge for data validation.

- Understanding of Databricks, Delta tables, data pipelines, or cloud-based data platforms.

- Familiarity with RAG, LLMs, embeddings, semantic search, knowledge graphs, and AI application testing.

- Ability to validate AI responses against source grounding, expected business rules, and trace evidence.

- Experience testing rule-based workflows, exception workflows, state machines, or case management systems.

- Understanding of authentication, authorization, role-based access, data privacy, and audit validation.

- Experience with test management and defect tracking tools such as Jira, Azure DevOps, or similar.

- Good analytical, communication, and documentation skills.

Preferred candidate profile





- Experience testing applications on Azure Databricks, Unity Catalog, Mosaic AI, or MLflow.

- Exposure to EDI/X12, healthcare transactions, pharmacy, payer, provider, claims, pricing, or drug data workflows.

- Exposure to vector search, graph databases, context graphs, triple stores, or decision trace stores.

- Experience with automated API testing and Python-based test automation frameworks such as PyTest.

- Experience validating model outputs, prompt changes, agent workflows, and retrieval quality.

- Familiarity with FDA drug data, DEA registry validation, NADAC/GPO pricing, EPCIS, VRS, or serialization workflows.

- Familiarity with CI/CD validation, smoke testing, release certification, and production sanity testing.

- Knowledge of observability tools such as Grafana, Prometheus, OpenTelemetry, Azure Monitor, or Log Analytics.

- Understanding of healthcare, pharma, or regulated enterprise environments is a plus.

📌 QA AI Engineer (Hyderabad)
🏢 NexTurn
📍 Hyderabad