3 дня назад
Senior AI QA Test Automation Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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