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Solvd

AI-driven software development and QA services

Senior AI Quality & Evaluation Engineer

Test Automation EngineeringPosted on Nov 13
Full-timeRemote in USANo salary listedRemote

About the Job

Requirements

  • At least 3 years of experience in software quality engineering or test automation with Python, including building test harnesses that run in continuous integration on a schedule.
  • Hands-on production evaluation of a search or retrieval-augmented generation system, including writing ground-truth sets, scoring relevance and grounding, and tracking drift over time.
  • Experience designing security-focused negative tests for authorization, entitlement, and data exposure, and reporting them at the severity expected by a client security team.
  • Ability to work with AWS by invoking Bedrock and OpenSearch application programming interfaces, reading CloudWatch, and deploying a scheduled job with infrastructure code.
  • Clear written reporting for client stewards as well as engineers.

Responsibilities

  • Build a golden question suite from top contact drivers and needs workshops, including questions, expected sources and passages, acceptance thresholds for relevance, grounding, and citation accuracy, and versioning alongside the content it tests.
  • Build a negative entitlement test set of queries issued under unentitled identities that must return no restricted passage, raising any failure as a severity-one alarm.
  • Build freshness and retirement tests that measure source-modified-to-index-available lag per item against the agreed threshold and verify that retired items disappear on the next sync.
  • Automate the evaluation harness to run on a schedule and after every content, configuration, or model change, publishing scores to the quality dashboard with trend lines and regression alarms.
  • Define the quality assurance gate that content analysts apply to remediated content.
  • Run the suite before every pilot change in weeks 7–9 and report misses with root cause—content, chunking, ranking, or permissions—to the appropriate owner.
  • Write the evaluation runbook and train client stewards and platform owners to add questions, rerun the suite, and interpret regressions.

Desired Qualifications

  • AWS Certified AI Practitioner or Machine Learning Engineer Associate certification.
  • Experience with retrieval-augmented generation evaluation libraries and large language model-as-judge scoring with human calibration.
  • Contact center or knowledge management domain exposure.
  • Familiarity with SOC 2 or ISO 27001 evidence practices.

About the Company

Solvd

AI-driven software development and QA services

Solvd is a global B2B technology partner that provides strategic digital transformation and software engineering services, including AI advisory, data engineering, digital experience design, custom application development, DevOps and cloud engineering, and quality engineering. Its Zebrunner platform is an AI-powered quality management suite that unifies manual and automated testing with test case management, AI-driven failure analysis, dashboards, and integrations with Jira and Slack, across real devices and multiple browsers. The company differentiates itself by blending AI strategy with practical engineering and ongoing quality assurance, supported by a global delivery model and acquisitions of EastBanc Technologies and Tooploox to deepen AI and enterprise transformation capabilities. Its goal is to help Fortune 500 and other large organizations digitally transform efficiently, improve software quality, and speed up product delivery.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Roseville, CA
Founded
2011

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