Role overview
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What you'll work on
- Design, develop, and deploy AI-driven applications and agentic systems using LLMs, transformers, and reinforcement learning
- Build intelligent automation pipelines for tasks such as incident triage, anomaly detection, and operational decision support
- Collaborate with SRE, DevOps, and product teams to integrate AI capabilities into existing infrastructure and workflows
- Develop and fine-tune models for natural language understanding, system behavior prediction, and autonomous task execution
- Implement scalable APIs and microservices for AI model serving and orchestration.
- Apply prompt engineering and retrieval-augmented generation (RAG) techniques to improve model performance and contextual accuracy
- Contribute to architectural decisions, model evaluation strategies, and continuous learning systems
- Align with team schedules (daily meetings and reviews between 3–7 PM CET)
Tags & focus areas
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