Senior AI QA & API Validation Engineer (Onsite Houston)

Propelsys Technologies LLC

Houston (TX)

On-site

USD 120,000 - 180,000

Full time

5 days ago
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Job summary

Propelsys Technologies LLC in Houston, TX seeks a Senior AI Test Engineer (API & AI Validation) with 10–12 years in Quality Engineering to lead API testing and AI validation efforts. The role emphasizes validating REST APIs, AI/LLM-powered applications, and end-to-end test strategies for AI-enabled systems.

The candidate will design automation frameworks, perform functional and performance testing, and ensure guardrails and responsible AI compliance across services and pipelines.

Qualifications

  • 10–12 years of experience in Quality Engineering.
  • Hands-on API testing experience.
  • Experience validating AI/LLM-powered applications.
  • Experience with performance and load testing.

Responsibilities

  • Define and implement end-to-end test strategies for AI-enabled applications.
  • Design and execute test plans for Generative AI, LLM, RAG, and AI Agent workflows.
  • Perform functional, integration, regression, system, and UAT testing.
  • Validate RESTful APIs using tools such as Postman, Swagger, REST Assured, or similar frameworks.
  • Develop and maintain API automation frameworks.
  • Validate AI model responses for accuracy, relevance, consistency, hallucinations, bias, and toxicity.
  • Test prompt engineering scenarios and optimize prompt quality.
  • Validate Retrieval-Augmented Generation (RAG) pipelines and vector search accuracy.
  • Verify AI guardrails, content moderation, and responsible AI compliance.
  • Perform database validation using SQL.
  • Conduct performance and load testing for APIs and AI services.
  • Collaborate with Product Owners, Architects, Data Scientists, ML Engineers, and Developers.

Skills

API testing
AI validation
Test automation
REST APIs
SQL

Tools

Postman
Swagger
REST Assured

Job description

Propelsys Technologies LLC in Houston, TX seeks a Senior AI Test Engineer (API & AI Validation) with 10–12 years in Quality Engineering to lead API testing and AI validation efforts. The role emphasizes validating REST APIs, AI/LLM-powered applications, and end-to-end test strategies for AI-enabled systems.

The candidate will design automation frameworks, perform functional and performance testing, and ensure guardrails and responsible AI compliance across services and pipelines.

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