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AI Software Development Engineer in Test

Job in Charlotte, Independence County, Arkansas, 72522, USA
Listing for: Intellibee Inc
Full Time position
Listed on 2026-02-08
Job specializations:
  • Software Development
    Software Engineer, DevOps
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: Charlotte

Overview

AI Software Development Engineer in Test, Charlotte, NC, US

Responsibilities
  • Help create a culture that motivates teams to ensure zero defects leak into production.
  • Work across teams to understand enterprise quality requirements and ensure adoption of core processes and standards.
  • Implement the shift-left test strategy for each line of business
  • Leverage open-source automation frameworks and tools across all levels of testing that integrate in the automated CI/CD pipeline.
  • Participate in the Agile (Scrum) team process, perform required standard testing activities keeping the customer experience top of mind during the testing process.
  • Work with internal teams to document test environment and test data management container strategies and provisioning for the different types of testing activities.
  • Comprehend and decompose user stories/requirements to identify what tests need to be created and automated across all levels of testing.
Qualifications
  • 5 years of experience in testing automation engineering with both functional & API based testing
  • Preferred BS/MS in Computer Science, Engineering, or related subject
Required Skills & Experience
  • Proficiency writing code in Python
  • Experience writing end to end test scripts utilizing multiple services and reporting results
  • Experience using SQL to join and query data across multiple tables and schemas
  • Experience with AWS services including
  • S3, Lambda, Dynamo DB, Cloudwatch, etc
  • Experience with CI/CD supporting technologies
  • GIT, Git Lab, Docker
  • Experience with up-to-date AI paradigms
  • Large language models
  • Classification models
  • MCP
  • RAG
  • Dynamic prompting for LLMs
Preferred Skills & Experience
  • Experience automating API tests and extensive knowledge of creating and leveraging mocks, stubs, and virtual services to fulfill test automation requirement
  • Automating tests for the full solution stack (unit, business logic, contract, usability, functional, performance)
  • Experience testing AI implementations and an understanding of the risks models pose to systems and the business at large
Major Plus With Direct Experience In The Following
  • Experience leaving feedback on Merge/Pull Requests to ensure teams follow best practices
  • Financial services technology / consumer banking testing experience
  • Experience with Genesys IVR and Salesforce is a plus
Extensive Knowledge Of
  • White Box Testing practices
  • Software engineering best practices for the full software development life cycle, including coding standards, code reviews, source control, build and release processes, continuous integration and continuous deployment concepts (CI & CD), and test suite development and maintenance
Working Knowledge Of
  • Commonly used ML/AI Python libraries/packages
  • Spacy, nltk, etc
  • Experience in troubleshooting issues and root cause analysis
  • Possesses a deep understanding of shift-left test practices and techniques along with the frameworks, and tools that support it.
  • Strong written and verbal communication skills.
  • Enthusiastic and energetic with an inherent curiosity to break code.
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