ai engineer in insurance

Aviva; Warszawa; On-site; PLN 180,000 - 320,000; Full time

Benefits offered by this job

Performance Bonus

Private medical care

Cafeteria benefits

Baby leave

Volunteer time off

Wellbeing leave

Employee Shares Plan

Job summary

Aviva ищет опытного инженера по AI для разработки и эксплуатации production-grade AI-агентов и контекстных пайплайнов. Вы будете отвечать за архитектурные решения и качество систем, тесно сотрудничать с продуктом и бизнес-юнитами и обеспечивать устойчивость инфраструктуры.

Требуется продвинутый Python, опыт разворачивания LLM в продакшене, хорошие коммуникативные навыки и образование в CS/Engineering/Math. Преимущества — знание MCP и опыт в финансовых сервисах.

Qualifications

• Высококлассный Python, надежный код и тестируемость.
• Опыт разворачивания LLM-приложений в продакшене (AI-агенты, контекстные пайплайны).
• Умение общаться с техническими и бизнес-акционерами.

Responsibilities

• Проектирование и эксплуатация production-grade AI-агентов и сервисов.
• Выбор архитектуры и памяти для систем AI.
• Определение критериев оценки и создание инженерных рамок валидации.
• Сотрудничество с продуктом и бизнес-юнитами.
• Писывать чистый код на Python и поддерживать надежность.
• Управление рисками и поддержка инцидентов.

Skills

Python

LLM apps

Communication

Stakeholders

Education

Degree in CS/Engineering/Math

Tools

AWS Strands

OpenAI Agents SDK

Google ADK

DSPy

MCP

LangSmith

Mem0

Hugging Face TRL

Job description

Описание

Aviva provides insurance services. Its Services Excellence Centre develops production AI agents and applied AI systems for customer-facing and internal operations.

Задачи

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 upscale architectural, data, compliance, and responsible AI risks Provide technical guidance to less experienced engineers and contribute to architecture and design reviews

Требования

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 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 Будет плюсом: 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 implementing agent loops directly through APIs; practical experience building or consuming Model Context Protocol (MCP) servers; experience implementing production evaluation frameworks using DeepEval, Arize Phoenix, Galileo, or LangSmith; understanding of session, long-term, and semantic memory architectures, including Mem0; experience with AWS and operating AI systems in production; experience fine-tuning models using 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

Условия

Contract of employment Performance Bonus Private medical care (ENEL-MED) Cafeteria system of benefits, e.g. MultiSport card Baby leave: 6 weeks leave for second parent Shortened working time after parental leave Employer-funded group insurance Employee Shares Plan Extra day off for birthday Paid time off to volunteer Additional leave acquired over the years in the company, up to 5 extra days per year Wellbeing Leave: two additional weeks of paid leave after 10 years of service Psychological support consultations Access to e-learning platforms Internal employee referral program Hybrid working model from Poland with a few days in Warsaw office per month Attractive office location in Warsaw - Gdański Business Center Additional entitlements for people with disabilities - Work Without Barriers Work environment that promotes diversity - Diversity Charter Applicants are not required to provide their date of birth, marital status, or attached photos with their CV