Job Description

Interface.ai is a leading Conversational AI SaaS company focused on providing cutting-edge solutions to the financial services industry. We serve close to 100 financial institutions today. We are one of the fastest-growing AI + financial technology companies in the industry, and we have grown 1800% in the last one year and recently featured as one of the top 100 fastest-growing fintech companies in Silicon Valley. Our mission is to empower every financial institution to scale efficiently and help its customers achieve financial wellness.

Our core technology is built 100% in-house with several breakthroughs in Natural Language Understanding. Our parser is built based on zero-shot learning that helps us to launch industry-specific IVA that can achieve over 90% accuracy on Day-1. We are 160+ people strong with employees spread across India and US locations.

Get To Know Us First!

Interface.ai provides an Intelligent Virtual Assistant (IVA) to FIs to automate calls and customer inquiries across multiple channels and engage their customers with financial insights and upsell/cross-sell. Our IVA is transforming financial institutions' call centers from a cost to a revenue center.

Our core technology is built 100% in-house with several breakthroughs in Natural Language Understanding. Our parser is built based on zero-shot learning that helps us to launch industry-specific IVA that can achieve over 90% accuracy on Day-1. We are 160+ people strong with employees spread across India and US locations. Many of them come from ML teams at Apple, Microsoft and Salesforce in the US along with enterprise architects with over 20+ years of experience building large-scale systems. Our India team consists of people from ISB, IIMs and many who have been previous part of early-stage startups. We have grown 1800% in the last one year. Founders come from Banking and Enterprise Technology backgrounds with previous experience scaling companies from scratch to $50M+ in revenues. We have grown 1800% in the last one year & are in the top 100 fastest-growing Fintech in Silicon Valley. We are a fully remote team

Careers - https://interface.ai/open-positions

LinkedIn - https://www.linkedin.com/company/interface-ai/

Do You Make the Cut?

QA Engineer III is a technical individual contributor role at Interface.ai.

In this role you would have the opportunity to build test strategies, planning and execution. Also, you would have an opportunity to collaborate with different teams and stakeholders.

What qualities are we looking for?

• Should have 5-10 years' experience relevant experience in quality engineering and basic Test automation skills.
• Graduate in Engineering or equivalent.
• Should have strong understanding of testing methodologies
• Ability to understand system architecture/Design
• Should have hands-on experience in Java, Rest Assured, Selenium, TestNG.
• Should have a good understanding of databases and DB queries
• Should have good debugging skills
• Should have an experience in any scripting language
• Good to have experience in performance testing
• Good knowledge on chatbots and voice bots is highly desirable

What will you get to do here?

• Own Product features, client implementations functionally and technically E2E from test perspective
• Perform all test execution based on functional and non-functional user stories or requirements.
• Maintain QA Automation frameworks and test cases, both UI and API.
• Collaborates with other stakeholders on the development of best practices that provide continuous integration and delivery.
• Bring in best industry practices in testing
• Design and maintenance of test strategies and test cases, including test data.
• Works with Product Owners and Development Leads to triage bugs and manage the bug backlog.
• Negotiate with team members/Stakeholders to determine which bugs will be addressed/fixed as part of a sprint iteration.
• Works closely with PgM, Development and Product Management teams to ensure release schedules through scope control, test design validation and pragmatic, results-oriented technical decisions.