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Travel Non-Clinical Tech in Santa Clara, CA

Job in Santa Clara, Santa Clara County, California, 95050, USA
Listing for: Inabia Software & Consulting Inc.
Full Time position
Listed on 2026-03-14
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 54 USD Hourly USD 54.00 HOUR
Job Description & How to Apply Below
Non-Clinical Tech

Location:

Santa Clara, CA

Agency:  Inabia Software & Consulting Inc.

Pay:  Competitive weekly pay (inquire for details)

Shift Information:  Days - 5 days x 8 hours

Contract Duration:  13 Weeks

Start Date:

ASAP

About the Position
QE Automation Engineer – GenAI / AI Testing

Location:

Santa Clara, CA (Hybrid – 2–3 days onsite)
Pay Rate:  $54/hr w2
Work Authorization : U.S. Citizen or Green Card – No Sponsorship Available

About the Role
Inabia Solutions & Consulting is seeking a QE Automation Engineer specializing in GenAI platforms to support next-generation AI chatbot validation initiatives.
You will design automation frameworks that validate conversational AI systems using modern tooling, AI-assisted development workflows, and autonomous testing strategies.
This role is ideal for engineers excited about AI-driven software quality engineering.

Key Responsibilities
Build automation frameworks using Java + Playwright
Validate GenAI chatbot behavior, workflows, and responses
Develop scalable automated test suites
Work independently in a high-autonomy engineering environment
Maintain CI/CD automation pipelines
Leverage AI coding assistants (Windsurf or similar)
Improve testing speed using AI-assisted workflows
Required Skills
Strong automation testing experience
Playwright + Java expertise
Independent execution capability
Experience working in fast-moving engineering teams
Preferred Skills
AI coding tools (Windsurf, Copilot, Cursor, etc.)
Jenkins or CI/CD pipeline ownership
Chatbot or conversational AI testing
Service Now platform exposure
Why Join Inabia
Work on cutting-edge GenAI products
Exposure to enterprise AI innovation
High-impact engineering environment
Long-term consulting career growth
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