QA Engineer

Remote in New York, NY, US • Posted 2 hours ago • Updated 2 hours ago
Contract W2
On-site
$32 - $38 hourly
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Fitment

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Job Details

Skills

  • Collaboration
  • Test Execution
  • Service Level
  • Dashboard
  • Reporting
  • Root Cause Analysis
  • Development Testing
  • Access Control
  • Regulatory Compliance
  • Software Quality Assurance
  • Quality Assurance
  • Software Development
  • Java
  • JavaScript
  • Programming Languages
  • Software Testing
  • Regression Analysis
  • Performance Testing
  • Analytical Skill
  • Communication
  • Amazon Web Services
  • Google Cloud Platform
  • Google Cloud
  • Selenium
  • JUnit
  • Large Language Models (LLMs)
  • Machine Learning (ML)
  • Prompt Engineering
  • Workflow
  • Evaluation
  • Risk Management
  • Python
  • API QA
  • Automated Testing
  • Continuous Integration
  • Continuous Delivery
  • Git
  • Generative Artificial Intelligence (AI)
  • Testing
  • Continuous Monitoring
  • Cloud Computing
  • Microsoft Azure
  • DevOps
  • GitHub
  • Artificial Intelligence
  • Messaging

Summary

RESPONSIBILITIES:
Kforce has a client that is seeking a QA Engineer in New York, NY.

Responsibilities:
* Design, develop, and maintain automated test suites for AI platforms and services
* Integrate testing capabilities into CI/CD pipelines to support rapid and reliable releases
* Build automated regression, functional, integration, and end-to-end testing frameworks
* Collaborate with platform engineering teams to improve testing coverage and release confidence
* Monitor test execution results and proactively identify quality risks
* Develop and maintain evaluation harnesses used to assess AI model and agent performance
* Create and curate golden datasets that represent expected business outcomes and user interactions
* Establish deterministic validation methods to verify AI responses against predefined expectations
* Design scoring methodologies, evaluation metrics, and performance rubrics aligned to business objectives
* Build adversarial and edge-case testing suites to assess model robustness, safety, and resilience
* Implement continuous evaluation capabilities that extend beyond pre-production testing into live environments
* Monitor AI outputs against established quality thresholds and service-level expectations
* Develop dashboards and reporting mechanisms that provide visibility into model quality and drift
* Identify performance degradation, anomalous behavior, and emerging risks
* Support root-cause analysis and remediation efforts when quality issues are identified
* Validate sandbox environments, platform guardrails, and operational control frameworks
* Verify that platform controls function as intended across development, testing, and production environments
* Support testing of AI safety mechanisms, access controls, content filters, and governance policies
* Ensure evaluation standards remain aligned with regulatory, compliance, and organizational requirements

REQUIREMENTS:
* 1-3 years of experience in Software Quality Assurance, Test Automation, Quality Engineering, Software Development, or a related technical discipline
* Experience building automated tests using Python, Java, JavaScript, or similar programming languages
* Familiarity with CI/CD pipelines and modern software delivery practices
* Understanding of software testing methodologies, including integration, regression, and performance testing
* Strong analytical and troubleshooting skills
* Excellent written and verbal communication skills

Preferred Qualifications:
* Experience building evaluation frameworks or automated validation tools
* Experience with cloud platforms such as Azure, AWS, or Google Cloud
* Experience with testing frameworks such as PyTest, Playwright, Selenium, JUnit, or equivalent tools
* Exposure to Generative AI, Large Language Models (LLMs), AI agents, or machine learning systems
* Exposure to observability and monitoring platforms
* Familiarity with prompt engineering, retrieval-augmented generation (RAG), or agentic workflows
* Understanding of AI safety, governance, model evaluation, and risk management concepts

Technical Skills:
* Testing & Automation
* Python
* PyTest
* API Testing
* Test Automation Frameworks
* CI/CD Pipelines
* Git/GitHub

AI & Data
* Generative AI
* LLM Evaluation
* Prompt Testing
* Golden Dataset Creation
* Evaluation Metrics
* Continuous Monitoring

Cloud & Platforms:
* Azure
* Azure DevOps
* GitHub Actions
* Container Technologies
* Monitoring & Observability Tools

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: kforcecx
  • Position Id: ITEQG2191147
  • Posted 2 hours ago

Company Info

About Kforce Technology Staffing

Kforce is a solutions firm specializing in technology, finance and accounting, and professional staffing services. Our KNOWLEDGEforce® empowers industry-leading companies to achieve their digital transformation goals. We curate teams of technical experts who deliver solutions custom-tailored to each client’s needs. These scalable, flexible outcomes are shaped by deep market knowledge, thought leadership and our multi-industry expertise. 

Our integrated approach is rooted in 60 years of proven success deploying highly skilled professionals on a temporary and direct-hire basis. Each year, approximately 18,000 talented experts work with the Fortune 500 and other leading companies. Together, we deliver Great Results Through Strategic Partnership and Knowledge Sharing®

NYSE: KFRC

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