A

Aviva

Provides savings, retirement, and insurance solutions

AI Quality Engineer

Manual & Functional QAConfirmed live in the last 24 hours
Full-timeWarsaw, Poland

About the Job

Requirements

  • Professional experience in quality engineering, software testing, test automation, data science, software engineering, or a related field.
  • Experience or strong interest in developing, testing, evaluating, or supporting AI-powered solutions.
  • Good Python proficiency and experience writing clean, maintainable code for analysis, automation, or testing.
  • Ability to investigate issues, identify root causes, and translate business objectives, customer outcomes, and risks into practical evaluation approaches.
  • Ability to explain findings to technical and non-technical stakeholders.

Responsibilities

  • Translate business expectations, user outcomes, and operational risks into measurable evaluation criteria.
  • Define successful, partially successful, and unsuccessful system behaviour, including the gradient between clear success and clear failure.
  • Design evaluation approaches for conversational, multi-turn, and non-deterministic AI systems.
  • Build and maintain representative evaluation datasets covering common, rare, boundary, and high-risk scenarios.
  • Assess dataset quality, including coverage, class balance, duplicates, data leakage, label quality, synthetic-versus-production differences, and dataset freshness.
  • Select appropriate manual, deterministic, model-based, and statistical evaluation methods.
  • Analyse errors by category, user journey, risk level, and likely root cause.
  • Distinguish model failures from failures in retrieval, chunking, ranking, prompts, tools, guardrails, integrations, source data, and evaluators.
  • Validate automated evaluators, including LLM-as-a-Judge, against human judgement.
  • Detect blind spots, noise, bias, and misleading aggregation in evaluation results.
  • Create baselines, controlled comparisons, and regression tests to enable meaningful comparison between system versions.
  • Prioritise tests according to probability and impact of failure rather than coverage alone.
  • Communicate results, uncertainty, limitations, and residual risks to support release and product decisions.
  • Identify emerging failure modes based on system changes, production observations, and research.

Desired Qualifications

  • Experience evaluating, testing, or monitoring AI-powered systems in production environments.
  • Experience working with structured data, especially JSON, logs, and tabular evaluation results.
  • Understanding of LLM behaviour, tokenisation, context limits, parameters, and non-determinism.
  • Understanding of multi-turn context, retrieval-augmented generation (RAG), grounding, faithfulness, hallucinations, guardrails, attacks such as prompt injection, and tool/function calling.
  • Software engineering practices, including Git, modular code, configuration management, and automated tests.

About the Company

Aviva

Provides savings, retirement, and insurance solutions

Aviva is a financial services group that provides savings, retirement, and insurance products to individuals, families, and businesses mainly in the UK, Canada, and Ireland. Its products help people manage long-term financial security through life insurance, pensions, and investment options. The company earns money from insurance premiums, investment income, and fees for asset management, and its offerings span protections, savings accounts, retirement plans, and investment services. Aviva differentiates itself by integrating a strong focus on sustainability and responsible investing (such as its Electric Vehicle Salary Sacrifice Scheme and venture capital investments in emerging tech) and by prioritizing diversity and inclusion in its workforce. Its goal is to help clients secure their financial futures while growing its business through a broad, diversified portfolio of financial products and services.

Company size
10,001+
Company stage
IPO
Headquarters
London, United Kingdom
Founded
1990

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