Principal Backend QA Engineer (AI)

Nexaminds is looking for a Senior Backend QA Engineer with strong API automation expertise and a focus on AI System Validation. In this role, you will be responsible for designing automated test frameworks, analyzing upstream service architectures, and validating non-deterministic systems (such as AI agents and chatbots). The ideal candidate excels at structuring high-quality test plans from complex requirements, utilizing modern automation frameworks, and leveraging AI techniques (like LLM as a Judge and scoring evaluations) to test applications beyond traditional deterministic methods.

Location: MEXICO

Qualifications we are looking for:

• API & Backend Automation: Strong hands-on experience in API test automation using Karate Framework and manual API testing with Postman.
• AI & Non-Deterministic Testing: Understanding of testing non-deterministic systems, including response scoring techniques, AI agent/chatbot validation, or evaluation concepts like LLM as a Judge.
• Technical Code Analysis: Ability to read and analyze source code to understand backend architectures, microservices, service dependencies, and upstream impacts.
• Structured Test Planning: Proven skill in reviewing requirement documents to create concise, precise test plans and automation frameworks without relying on rigid language-specific constraints.
• Local Environment Setup: Hands-on experience configuring local dev environments for early-stage (shift-left) test execution. 
• A proactive approach to learning emerging AI technologies and building dynamic testing solutions where standard deterministic QA falls short.
• Clear, structured, and direct technical communication.

Nice to have:

• Hands-on experience with the Agent Development Kit (ADK) or MCP applications.
• Background in contract testing or microservices architecture validation.
• Prior experience working in complex enterprise environments (e.g., retail or large-scale backend systems).

Job duties:

• API Testing & Automation: Analyze OpenAPI/Swagger specs to design comprehensive test plans, execute manual testing via Postman, and build robust automated test suites using the Karate Framework.
• AI System & Agent Validation: Test and evaluate non-deterministic AI outputs, internal AI agents (built with ADK), and MCP applications using evaluation metrics and scoring techniques.
• Architecture & Upstream Analysis: Inspect source code and upstream services to identify critical dependencies, evaluate technical system impacts, and manage test data across pre-production and production environments.
• Shift-Left & Local Testing: Configure and launch local development environments to conduct early-stage testing on backend APIs and microservices before deployment.
• AI-Integrated Test Frameworks: Design scalable test automation strategies that dynamically integrate AI capabilities to validate scenarios standard testing tools cannot handle.