Senior Machine Learning Engineer - Providence - Rag/LLM/Ai

Job Description A well-established enterprise information and analytics organization is adding a Senior Machine Learning Engineer to its Providence team. Working on a hybrid schedule, this person will lead technical efforts that turn emerging AI concepts into durable, large-scale product capabilities. You will focus on intelligent tools built for research-intensive professional users, with an emphasis on generative AI, semantic search, retrieval frameworks, and multi-step agent workflows. The role blends hands-on development with technical leadership: evaluating new approaches, shaping reusable platform patterns, and establishing standards that help AI solutions operate consistently across a global product portfolio. Required Skills & Experience Extensive experience designing and delivering applied machine learning solutions Proven ability to build systems powered by large language models and AI agents Strong understanding of retrieval-augmented generation, embeddings, and vector-based search Experience supporting model delivery through MLOps tooling and production practices Advanced Python programming ability Experience deploying cloud-native services with AWS and Kubernetes Desired Skills & Experience Prior work in legal technology, knowledge management, publishing, or another information-rich industry 12 or more years of software development experience, or at least 8 years plus a doctorate Degree in computer science, machine learning, engineering, or a comparable technical field Daily Responsibilities What You Will Be Doing 100% hands-on technical contribution Develop and release AI features that improve how professionals discover, evaluate, and use complex information Create scalable services and shared infrastructure for distributed machine learning applications Implement retrieval pipelines, agent orchestration, and supporting components for generative AI products Coordinate with application, cloud, data, and security teams to meet performance, reliability, and governance requirements The Offer Performance bonus eligibility You Will Receive The Following Benefits Medical insurance options Dental coverage Vision coverage Paid time away from work 401(k) plan with company matching when applicable This opportunity follows a hybrid work model in Providence, Rhode Island. Applicants must have unrestricted authorization to work in the United States on a full-time basis now and in the future. Posted By: Nick Ramler