Experienced AI Engineer - Generative AI​/Machine Learning

About Us

We’re not like other insurance companies. From our specialty products to our business model, our culture to our results — we’re different. Different is who we are, and how we work, interact, deliver and succeed together. Creating a different and better insurance experience doesn’t just happen. It takes focus and a shared passion for going beyond the expected to forge relationships and deliver care that makes a difference.

This approach rises from and is supported by our talented, ethical and smart team of employee owners united around a single purpose: to work alongside our customers and partners when they need us, in unexpected ways, with exceptional results.

We’re not like other insurance companies. From our specialty products to our business model, our culture to our results — we’re different. Different is who we are, and how we work, interact, deliver and succeed together. Creating a different and better insurance experience doesn’t just happen. It takes focus and a shared passion for going beyond the expected to forge relationships and deliver care that makes a difference.

This approach rises from and is supported by our talented, ethical and smart team of employee owners united around a single purpose: to work alongside our customers and partners when they need us, in unexpected ways, with exceptional results. RLI is a Glassdoor Best Places to Work company with a strong, successful background. For decades, our financial track record has been stellar — a testimony to our culture and validation of our reputation as an excellent underwriting company.

Under general management, design, develop, and deliver next-generation AI solutions that improve business processes across the enterprise. Develop intelligent applications, integrate AI capabilities with enterprise systems, and build scalable cloud-native solutions that enable automation, knowledge discovery, and operational efficiency. Collaborate with product owners, architects, business stakeholders, and development teams to design secure, scalable, and maintainable AI-enabled solutions that solve complex business challenges.

• Design, develop, test, and deploy enterprise AI applications using modern software engineering practices.
• Build intelligent solutions utilizing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and workflow orchestration technologies.
• Develop scalable backend services, REST APIs, and cloud-native applications that integrate AI capabilities with enterprise systems.
• Design and implement integrations using APIs, messaging, and event-driven architectures.
• Develop document processing, OCR, and knowledge extraction solutions using AI technologies.
• Design and implement vector search, semantic retrieval, and enterprise knowledge base solutions.
• Deploy, manage, and optimize applications within Kubernetes-based environments.
• Collaborate with business partners to understand business needs and translate them into practical AI-enabled solutions.
• Participate in architecture reviews, code reviews, Agile ceremonies, technical planning, and solution design discussions.
• Contribute to CI/CD pipelines, infrastructure automation, and software engineering best practices.
• Mentor team members and promote high standards for software quality, testing, security, observability, and maintainability.
• Assist with special projects or perform other duties as assigned.

• Typically requires a Bachelor’s degree in computer science or a related field
• Minimum of 7 years of professional software engineering experience designing, developing, and supporting enterprise applications.
• Equivalent combination of education and experience will be considered.
• Experience designing and developing cloud-native applications, distributed systems, and RESTful APIs.
• Experience developing AI-enabled applications utilizing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agent frameworks, and prompt engineering techniques.
• Experience designing and implementing vector databases, vector search, embeddings, and semantic retrieval solutions.
• Experience using AI-assisted…