AI Engineer in Insurance in Warsaw

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.

Wymagania:

• 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.

Budzie plus:

• 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.

Warunki:

• 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.