Experienced AI Engineer - Generative AI/Machine Learning

RLI AI Solutions Developer 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 and responsibilities include: 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 and experience requirements include: 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, and competencies include: 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. Base pay range: $115,037.00 - $167,666.00 Total rewards include: 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 RLI fosters a true learning culture and encourages professional growth through insurance courses, in-house training, and other educational programs. RLI covers the cost for most programs and employees typically earn a bonus upon successful completion of approved courses and certifications. RLI is an equal opportunity employer and does not discriminate in hiring or employment on the basis of race, color, religion, national origin, citizenship, gender, marital status, sexual orientation, age, disability, veteran status, or any other characteristic protected by federal, state, or local law. RLI