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SENIOR AI QUALITY ENGINEER (E-TD14)

Hungary - Budapest

Tech People is a European provider of technical skills permanent recruitment and temporary contracting services for multiple industries.

Currently we are looking for

SENIOR AI QUALITY ENGINEER (E-TD14)



Location: Netherlands or Hungary (hybrid - 2 days in office 6 week)

Salary: competitive

Type of employment: employee


Tasks:

  • The work spans three distinct problems, and you keep them clear: testing agentic product behaviour, using agents to test conventional software, and building the agentic quality infrastructure that supports both. 
  • Quality engineering 
  • Design and maintain automated test suites across your team's interfaces and surfaces. 
  • Write integration and contract tests that validate the interfaces your team provides to others — focused on correctness, schema stability, and clear failure isolation. 
  • Bring advanced quality practices where they earn their place: property-based testing, fuzzing, mutation testing, contract testing, non-functional testing, and production-quality signals. 
  • Assess non-functional risks: performance regressions, data consistency, access control, sensitive-data handling, migration safety, backward compatibility. 
  • Investigate failing builds: triage root cause, distinguish product bugs from test brittleness, clarify ownership across team boundaries. 
  • Work with Claude, stay accountable 
  • Use Claude Code as your primary collaborator for generating tests, investigating failures, proposing fixes, and drafting multi-file change sets. 
  • Write briefs, acceptance criteria, and CLAUDE.md conventions that Claude can execute against without further clarification; use subagents and MCP tools to go beyond single-shot prompting. 
  • Build evals and headless agent runs in CI that catch regressions automatically — not just tests a human triggers. 
  • Review and approve Claude-generated test suites before they merge — verify correctness, coverage, traceability to intended behaviour, and that assertions were not weakened just to pass; escalate suspicious changes and require human approval for any change to expected behaviour. 
  • Build reusable prompting patterns and context conventions for test generation in the codebase. 
  • Contribute to the quality journey 
  • Share what works in agentic quality engineering through demos, retros, documentation, and conversation. 
  • Contribute to shared quality standards: validation artefacts on AI-assisted PRs, CI quality gates, coverage expectations. 
  • Surface where agentic approaches could reduce test toil or improve coverage. 
  • Help engineers own quality and move the team up the testing-maturity curve — beyond manual and AI-assisted test writing toward bounded agents that observe changes, write and repair tests, and help keep suites green — matching autonomy to risk and never lowering the quality bar. 
  • Technical environment:
    • Claude Code, subagents, MCP integrations and multi-agent workflows
    • Python, TypeScript, Vue, Postgres, Azure, Kubernetes and Terraform
    • Cloud-native, service-oriented architecture

Requirements:

  • 5+ years in test or quality engineering with ownership of automated test suites across a team or service. 
  • Strong API and integration testing skills — the team's output is almost entirely interfaces. 
  • Hands-on Claude Code experience — test generation, failure analysis, multi-file editing; not just autocomplete. 
  • CI/CD fluency — writing and maintaining quality gates, not just running them. 
  • Writes acceptance criteria that leave no ambiguity for implementation or for Claude to execute against. 
  • Comfort with data-adjacent testing: databases, data integrity, consistency, and API contracts. 
  • Fluent English for clear communication with engineers, product stakeholders, and other teams. 

Nice to have :

  • Contract testing or consumer-driven contract patterns. 
  • SQL for test-data setup and assertion. 
  • Security-aware testing: secrets management, sensitive-data handling, compliance contexts. 
  • Search-engine testing: relevance, edge cases, performance. 
  • Experience contributing to a team's AI tooling adoption. 


To apply for this opportunity, please register you CV, or for more information call +36 30 730 2549!

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