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3 дня назад

Senior AI QA Test Automation Engineer (AI)

Формат работы
remote (только Europe)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Cyprus/Greece
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior AI QA Test Automation Engineer (AI/CX Agent Suite): Building scalable evaluation pipelines and QA automation for an AWS Bedrock multi-agent customer-support system with an accent on LLM evaluation, agent orchestration, and production CI/CD integration. Focus on measuring agent accuracy, safety, hallucination rates, and task completion, while designing adaptive testing, quality analytics, and evaluation architecture.

Location: Limassol, Nicosia, Athens, Thessaloniki, or remote; hybrid workplace

Company

Engineering – Quality Assurance work focused on the CX Agent Suite and AI quality engineering.

What you will do

  • Build scalable AI/ML QA frameworks, libraries, and tooling for the CX Agent Suite.
  • Design evaluation pipelines for multi-agent responses, measuring accuracy, relevance, tone, hallucination rate, safety, guardrail compliance, and task completion.
  • Evaluate and prototype Strands Agents or comparable orchestration frameworks for autonomous QA agents.
  • Integrate AI-driven testing into GitLab CI/CD across development, test, staging, and production environments.
  • Develop adaptive automation and quality analytics using OpenTelemetry, CloudWatch, X-Ray, and LangFuse evaluation data.
  • Lead research, code reviews, workshops, and architectural guidance for QA and engineering teams.

Requirements

  • BSc or MSc in Computer Science, AI, or a related discipline.
  • 6+ years of hands-on QA or test automation experience designing and maintaining automation frameworks.
  • 1+ year applying AI/ML to software testing or QA process improvement and bringing solutions into production workflows.
  • Strong Python skills in AWS-centric environments; Java or TypeScript is advantageous.
  • Experience with LLM-as-a-judge, human-in-the-loop evaluation, RAG, multi-agent orchestration, DeepEval or comparable frameworks, and agent-orchestration SDKs.
  • Experience with GitLab CI/CD, Docker, Kubernetes/EKS, vector databases, MLOps pipelines, and enterprise AI tooling.

Nice to have

  • Experience with autonomous QA agents, agentic orchestration, or self-evolving test suites.
  • Experience with LangFuse, LangSmith, Arize, or other LLM observability tools.
  • Knowledge of AI ethics, fairness, bias detection, gRPC, WebSockets, or HTTP/2.
  • Experience with AWS Bedrock, GCP Vertex AI, or Azure AI.

Culture & Benefits

  • Attractive remuneration package.
  • Intellectually stimulating work environment.
  • Continuous personal development opportunities.
  • International training opportunities.

Hiring process

  • Introductory chat with Talent Acquisition.
  • First interview with the future team.
  • Final interview.

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