AI Automation Tester - Charlotte, NC

DTS is looking for AI Automation Test Engineer for our direct client Position in Charlotte, NC.

Top 3 Soft Skills:

• Self-guided learner
• Highly communicative
• Curious about emerging technologies

Top 3 Hard Skills:

• Deep understanding of APIs, modern technological approaches to testing
• High degree of programming experience in Typescript or Python
• High understanding of current AI/ML patterns and paradigms

Job Description:

AI Software Development Engineer in Test

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, GitLab, 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.