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ALAllianz Global Investors

AI Quality Assurance Engineer(m/w/x)

Frankfurt am Main, München
Full-timeWith Home OfficeExperienced

Validating AI Hub capabilities and supporting decentralized AI use cases. Understanding of prompt engineering and agentic AI testing required. Flexible hybrid work, relocation support.

Requirements

  • Understanding of prompt/context/harness engineering, intent-based testing, spec-driven development, BDD, codified acceptance criteria, feature flagging, A/B testing
  • Min. 3 years experience as engineer, strong advocacy/knowledge of SQA, System Testing in Agentic AI
  • Min. 2 years experience, familiarity with evaluation frameworks, behavioural/performance testing, observability platforms (e.g., LangSmith, DeepEval, Ragas, Langfuse, Braintrust, Datadog)
  • Experience defining test strategies, test plans, acceptance criteria, validation approaches
  • Deep understanding of Generative AI systems (e.g. LLM based applications), agentic AI workflows
  • Familiarity with evaluation of GenAI outputs (e.g. hallucination risk, consistency, explainability, robustness)
  • Understanding of prompt-based system behaviour, orchestration patterns, AI agents
  • Familiarity with data pipelines, APIs, system integration patterns
  • Ability to translate functional AI requirements to technically testable specifications
  • Experience in Agile delivery environments, cross-functional teams
  • Strong analytical and problem-solving skills
  • Experience in regulated financial services environments is beneficial

Tasks

  • Evaluate and validate AI Hub capabilities
  • Support decentralized AI use cases
  • Define evaluation approaches for AI systems
  • Translate AI requirements into testable criteria
  • Derive reusable validation methods and best practices
  • Promote AI quality assurance methods
  • Ensure scalable and compliant AI deployment
  • Assess AI system reliability, performance, explainability, robustness
  • Implement CI/CD regression gates
  • Maintain a golden eval set
  • Run evals in CI
  • Block rollout on regressions
  • Apply best practices in prompt, context, and harness engineering
  • Mitigate risks like context rot
  • Use spec-driven development frameworks
  • Codify clear quality instructions
  • Apply feature flagging and A/B testing
  • Support continuous improvement of AI solutions

Work Experience

  • 3 years

Education

  • Vocational certificationOR
  • Bachelor's degreeOR
  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • LangSmith
  • DeepEval
  • Ragas
  • Langfuse
  • Braintrust
  • Datadog
  • APIs

Benefits

Flexible Working

  • Flexible work arrangements
  • Hybrid model
  • Flexible working hours

Retirement Plans

  • Company pension/savings plans

Other Benefits

  • Relocation support

Childcare

  • Childcare facilities

Competitive Pay

  • Company share purchasing plan

Mental Health Support

  • Mental health and wellbeing programs

Company Bike

  • Jobrad bike leasing

Public Transport Subsidies

  • Subvention Jobticket

Career Advancement

  • Career opportunities within Allianz Group

Learning & Development

  • Self-guided learning & development

Social Impact

  • Volunteering time
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Allianz Global Investors and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.

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