The Role
Design, build, and deploy enterprise generative AI solutions using LLMs, RAG, vector search, OCR, and AI agents. Develop cloud-native, Kubernetes-based services, REST APIs, and integrations; contribute to CI/CD, IaC, and architecture reviews; mentor team members and ensure security, observability, and software quality.
Summary Generated by Built In
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. Apply today to make a difference with us. RLI is a Glassdoor Best Places to Work company with a strong, successful background. For decades, our financial track record has been stellar — a testament to our culture and validation of our reputation as an excellent underwriting company.Position Purpose
Principal Duties & Responsibilities
Education & Experience
Knowledge, Skills, & Competencies
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.
Principal Duties & Responsibilities
- 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.
Education & Experience
- 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 software development tools to improve software design, development, testing, and delivery.
- Experience working within Agile software development environments utilizing Git-based source control and CI/CD practices.
Knowledge, Skills, & Competencies
- Strong proficiency in Python and modern software engineering principles.
- Strong understanding of software architecture, object-oriented design, and design patterns.
- Ability to design and develop scalable cloud-native applications utilizing Kubernetes, Docker, REST APIs, and microservices.
- Knowledge of modern AI application architecture including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, LangGraph, LangChain, Azure AI Foundry, prompt engineering, and AI model evaluation.
- Ability to design and implement vector search, semantic retrieval, embeddings, and knowledge ingestion pipelines for enterprise AI solutions.
- Knowledge of intelligent document processing technologies including OCR, document processing pipelines, and structured and unstructured document extraction.
- Experience integrating enterprise systems using APIs, messaging, and event-driven architectures.
- Knowledge of DevOps tools and practices including Git, GitLab, GitLab CI/CD, Infrastructure as Code (IaC), and automated deployment pipelines.
- Ability to leverage AI-assisted development tools while maintaining high standards for software quality, security, testing, and observability.
- Strong analytical, problem-solving, communication, and collaboration skills.
- Demonstrates the ability to evaluate emerging AI technologies and apply them to solve complex business problems.
- Annual bonus plans
- Employee stock ownership plan (ESOP)
- 401(k) — automatic 3% company contribution
- Annual 401k and ESOP profit-sharing contributions (Up to 15% of eligible earnings)
- Paid time off (PTO) and holidays
- Paid volunteer time off (VTO) to support our communities
- Parental and family care leave
- Flexible & hybrid work arrangements
- Fitness center discounts and free virtual fitness platform
- Employee assistance program
- Comprehensive medical, dental and vision benefits
- Flexible spending and health savings accounts
- 2x base salary for group life and AD&D insurance
- Voluntary life, critical illness, & accident insurance for purchase
- Short-term and long-term disability benefits
- Training & certification opportunities
- Tuition reimbursement
- Education bonuses
Skills Required
- Bachelor's degree in Computer Science or related field (or equivalent experience)
- Minimum 7 years professional software engineering experience designing, developing, and supporting enterprise applications
- Strong proficiency in Python
- Experience designing and developing cloud-native applications, distributed systems, and RESTful APIs
- Experience developing AI-enabled applications using LLMs, Retrieval-Augmented Generation (RAG), AI agents, and prompt engineering
- Experience designing and implementing vector databases, vector search, embeddings, and semantic retrieval solutions
- Experience with document processing, OCR, and knowledge extraction solutions
- Experience deploying, managing, and optimizing applications in Kubernetes-based environments
- Experience integrating enterprise systems using APIs, messaging, and event-driven architectures
- Knowledge of LangChain, LangGraph, Azure AI Foundry and AI application architectures
- Experience with Git-based source control, GitLab, GitLab CI/CD, CI/CD pipelines, and Infrastructure as Code
- Experience working in Agile software development environments
- Ability to leverage AI-assisted development tools while maintaining software quality, security, testing, and observability
- Strong analytical, problem-solving, communication, and collaboration skills
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The Company
What We Do
RLI is a U.S.-based specialty insurer that serves niche property, casualty and surety markets. We provide peace of mind to the customers we serve by safeguarding their assets and helping them manage risk. We hire smart, ethical people, make them owners of the business and give them the freedom to succeed. These are the principles that drive our success, and they’re the reasons we have been successful for more than 50 years. We believe in a different way of doing business and RLI is not what you’d expect from a typical insurance company. Our creative and collaborative workplace is cultivated by employee owners empowered to make good decisions for customers and the business. We have a reputation for niche expertise, superior service and an entrepreneurial culture. In the industry and among our peers, we’re known for: The best and brightest people in the industry who build strong relationships and provide outstanding service. An underwriting focus so we perform well in all market cycles. Our empowered, creative ownership culture. A customized approach to developing insurance products to meet very specific needs. Proven financial strength.
