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Intern - AI Software QA Engineer
Job in
Livermore, Alameda County, California, 94550, USA
Listed on 2026-03-05
Listing for:
Fremont Bank
Apprenticeship/Internship
position Listed on 2026-03-05
Job specializations:
-
IT/Tech
Data Analyst, AI Engineer
Job Description & How to Apply Below
AI Software QA Engineer Intern
Location:
Livermore, CA
Hiring Salary Range: $20.00 per hour
Position Summary
Fremont Bank - one of the Bay Area's most respected and long-standing financial institutions - is seeking a strategic, hands-on intern to join and help advance our Information Technology team. This is a high-impact opportunity to contribute to the success of a mission-driven organization committed to excellence, community service, and strong client relationships.
If you're energized by purpose-driven work, collaboration, and delivering meaningful results, we'd love to connect.
Why Fremont Bank?
Founded in 1964, Fremont Bank is one of the oldest independently owned banks in the Bay Area and has been consistently recognized as a Top Workplace for the past 15 consecutive years. Our foundation is built on relationships - with our clients, our associates, and our communities.
We offer:
* A people-first culture grounded in inclusion and excellence
* Deep community involvement and local reinvestment
* A mission-driven workplace where values and performance go hand in hand
The Fremont Bank Way
* Full-Service Banking with comprehensive financial solutions, advanced technology, and exceptional service
* No-Compromise Approach - we help clients get to "yes"
* Core Values:
o Go above and beyond for clients
o Foster a supportive and empowering environment for associates
o Deeply invest in the well-being of our local community
Department Overview
The Enterprise Quality Assurance (EQA) department plays a critical role in ensuring the reliability, performance, and overall quality of our products. EQA partners closely with Engineering, Product, and Release Management to deliver high‑confidence releases that meet customer expectations and support the company's roadmap. The team oversees the full spectrum of quality activities, including test strategy, planning, execution, automation, and quality governance.
As the bank expands its product capabilities, QA remains central to maintaining consistency, reducing production defects, and driving cross‑functional efficiency.
Core responsibilities include functional and regression testing across platforms such as Res Lending, Commercial Lending, Digital Services, Central Operations, and Dot Com; development and enhancement of in‑house test automation frameworks; establishing quality standards, best practices, and KPI reporting; assessing release readiness and identifying risks; and advancing continuous improvement efforts through new tools and emerging technologies such as AI and machine learning.
EQA's strategic focus areas include scaling automation to support faster releases, adopting AI/ML solutions for test optimization, improving operational efficiency through workflow and tooling enhancements, aligning quality efforts across Engineering and Product, and supporting digital transformation through data‑driven quality practices.
The team's strengths include deep domain expertise across core product areas, strong automation engineering capabilities, a broad understanding of end‑to‑end systems and integrations, a culture centered on collaboration and continuous improvement, and a forward‑looking approach to new technologies and methodologies.
Position Overview
The AI Software QA Engineer Intern will work with Fremont Bank's Quality Assurance leadership to identify and implement Generative AI-based solutions that improve testing efficiency, speed, and quality across banking applications. This role focuses on applied AI experimentation, proof-of-concepts, and tooling to reduce manual effort in QA processes.
Role and Responsibilities
* Research and prototype Generative AI use cases to improve QA productivity
* Build proof-of-concept tools leveraging LLMs for Test case generation from requirements and user stories
* Test data generation and masking
* Defect analysis and clustering
* Regression test optimization and prioritization
* Analyze existing QA workflows and identify automation and AI opportunities
* Propose measurable efficiency improvements (time saved, coverage improved)
* Assist in integrating AI outputs into existing Selenium + C# automation framework
* Develop lightweight…
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