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Aviva

Provides savings, retirement, and insurance solutions

Mid or Senior Applied AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeWarsaw, Poland

About the Job

Requirements

  • Strong Python engineering skills and a track record of writing clean, testable, production-quality code.
  • Proven experience delivering large language model applications in production, such as AI agents or advanced context pipelines.
  • Strong communication skills and the ability to work effectively with both technical and business stakeholders.
  • A degree in computer science, engineering, mathematics or a related discipline, or equivalent practical experience.
  • A demonstrable portfolio of production AI or large language model engineering work.

Responsibilities

  • Design, build and operate production-grade AI agents, context pipelines and applied AI services.
  • Make architecture decisions for individual AI systems, including framework selection, orchestration patterns and memory strategy.
  • Define evaluation criteria before development begins and implement robust evaluation frameworks covering quality, safety, fairness and compliance.
  • Turn business needs into practical AI solutions in close partnership with product and business teams.
  • Make pragmatic build-versus-reuse decisions and contribute reusable components, standards and canonical engineering patterns.
  • Write clean, testable Python code and use AI-assisted engineering tools effectively.
  • Maintain production reliability, monitor cloud and API resource usage, and support incident response for deployed AI systems.
  • Identify and escalate architectural, data, compliance and responsible AI risks.
  • Provide technical guidance to less experienced engineers and contribute actively to architecture and design reviews.

Desired Qualifications

  • Deep understanding of context engineering, including chunking, embedding selection, hybrid search, re-ranking, knowledge graphs and prompt construction.
  • Hands-on experience with agent orchestration frameworks such as AWS Strands, OpenAI Agents SDK, Google ADK or DSPy, or with implementing agent loops directly through APIs.
  • Practical experience building or consuming Model Context Protocol servers.
  • Experience implementing production evaluation frameworks using tools such as DeepEval, Arize Phoenix, Galileo or LangSmith.
  • Understanding of session, long-term and semantic memory architectures, including frameworks such as Mem0.
  • Experience with AWS and operating AI systems in production.
  • Experience fine-tuning models using tools such as Unsloth, Axolotl or Hugging Face TRL.
  • Experience with speech-to-text or text-to-speech models, such as ElevenLabs, Deepgram or Qwen, in end-to-end voice solutions.
  • AWS certification, such as Solutions Architect Associate or higher.
  • Experience in financial services, insurance or another regulated industry.
  • Working knowledge of data protection and customer-outcome requirements as they apply to AI systems.

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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