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Neuroscale AI

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Neuroscale AI

QA Engineer

Neuroscale AI is seeking a QA Engineer to take charge of quality assurance, testing strategies, and release readiness for its ARBI recruiting platform and Athena career…

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Role Snapshot

Hiring Now
Work arrangement
Remote
Where applicants may be
Applicants in United States only
Salary
Not specified
Apply by
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Employment type
Full-time
Experience
Not specified
Added to Jobsiz1d agoEmployer posted Nov 10, 2026
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About This Role

Neuroscale AI is seeking a QA Engineer to take charge of quality assurance, testing strategies, and release readiness for its ARBI recruiting platform and Athena career readiness tools. The company builds AI-powered talent intelligence platforms that support commercial enterprises, public-sector agencies, higher education institutions, and staffing teams. This position is a hands-on senior leadership opportunity suited for a professional who can audit existing testing processes, create automation frameworks, validate artificial…

Job Description

Neuroscale AI is seeking a QA Engineer to take charge of quality assurance, testing strategies, and release readiness for its ARBI recruiting platform and Athena career readiness tools. The company builds AI-powered talent intelligence platforms that support commercial enterprises, public-sector agencies, higher education institutions, and staffing teams. This position is a hands-on senior leadership opportunity suited for a professional who can audit existing testing processes, create automation frameworks, validate artificial intelligence behaviors, and establish release confidence for an evolving SaaS platform.

The person in this role will collaborate closely with engineering, design, product, customer success, and company founders. Responsibilities include building a comprehensive test architecture, executing exploratory and automated testing, validating backend services and APIs, evaluating LLM workflows for accuracy and hallucination risks, and developing clear defect reporting mechanisms. The candidate will help the organization transition from stabilization to mature quality engineering while establishing clear quality metrics across all software deployments.

Responsibilities

  • Audit current quality assurance practices across frontend interfaces, backend services, APIs, data workflows, and AI pipelines.
  • Define a comprehensive testing strategy encompassing short-term stabilization, mid-term automation, and long-term quality maturity.
  • Validate software implementation against design specifications, acceptance criteria, and customer-specific workflows.
  • Manage automated frontend, API, integration, and end-to-end test coverage using tools like Cypress, Playwright, and Pytest.
  • Test Python and FastAPI backend services, REST APIs, PostgreSQL databases, Redis, OpenSearch, and asynchronous processing tasks.
  • Evaluate AI-driven recruiting workflows for accuracy, hallucination risks, bias, explainability, and prompt adherence.
  • Generate structured defect reports, track bug resolution, and provide clear quality status updates prior to product releases.

Requirements

  • Demonstrated professional background in Quality Assurance, Quality Engineering, or Software Test Engineering.
  • Hands-on experience testing SaaS web products, B2B platforms, workflow systems, or AI-enabled applications.
  • Proficiency in manual testing techniques including exploratory testing, edge-case discovery, and responsive web validation.
  • Practical automation testing experience using tools such as Cypress, Playwright, Selenium, Pytest, or Postman.
  • Backend engineering familiarity with Python, FastAPI, REST APIs, PostgreSQL, Redis, OpenSearch, and containerized cloud services.
  • Ability to integrate automated tests into CI/CD pipelines and validate large-scale data pipelines and asynchronous workflows.
  • Willingness to align with Eastern Time business hours or relocate to the Northern Virginia and Washington, DC area.

Qualifications

  • Prior experience working as a Staff QA Engineer, Lead QA Engineer, Quality Engineering Lead, or QA Architect.
  • Background in testing AI and LLM products, RAG systems, agentic workflows, or human-in-the-loop decision systems.
  • Previous work within HR technology, recruiting platforms, applicant tracking systems, or assessment software.
  • Familiarity with performance and load testing frameworks such as JMeter, k6, or Locust.
  • Knowledge of security, privacy, accessibility, and SOC 2-style compliance controls.

Core Skills

Benefits

  • Competitive base salary determined by experience and seniority
  • Potential performance incentives or equity participation
  • Medical, dental, and vision insurance coverage
  • Paid time off
  • Support for relevant professional growth, courses, conferences, and technical certifications

Frequently Asked Questions

Answers are based only on the employer’s listing; where it doesn’t say, neither do we.

Is this position remote?

Yes, the posting lists the role as remote, though there is a strong preference for candidates who can align with Eastern Time business hours or relocate to the Northern Virginia and Washington, DC area.

What is the employment type?

The position is a full-time role.

What is the salary for this position?

The specific salary amount is not stated in the job posting, though the company offers a competitive base salary commensurate with experience, seniority, and location.

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Posted by Neuroscale AI

Source: Jobicy

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Posted by employer: Nov 10, 2026

Added to Jobsiz: Nov 10, 2026

The description was written by Jobsiz from the employer’s listing. Always check the original listing before applying.

Neuroscale AI

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