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

About the Opportunity A global provider of digital research and decision-support products is adding a Machine Learning Engineer to its Worcester, Massachusetts team. This hybrid position will focus on converting emerging AI capabilities into secure, scalable features used within complex professional software platforms. The engineer will work across the applied AI stack, from model experimentation and retrieval design through production integration. Key areas include generative AI, large language model applications, intelligent search, and agent-based systems that help users navigate and interpret high-value information. Core

Proven success delivering machine learning or artificial intelligence systems in production environments Practical experience designing applications that use LLMs, AI agents, and tool-driven workflows Knowledge of RAG patterns, embedding models, vector stores, and relevance-focused retrieval techniques Familiarity with operational ML practices such as testing, deployment automation, observability, and model governance Strong Python development skills and sound software engineering fundamentals Experience building cloud-native solutions with AWS and container orchestration platforms such as Kubernetes Preferred Background Exposure to legal technology, enterprise search, publishing, compliance, or another information-dense product domain At least 12 years of software development experience, or 8+ years of development experience together with a PhD Bachelor's degree or higher in computer science, machine learning, engineering, or a closely related field Your Impact

Serve as a hands-on engineer responsible for design, implementation, testing, and delivery Build AI-powered capabilities that support research, summarization, discovery, and knowledge-based decision making Architect distributed machine learning services that can perform reliably across a large enterprise product ecosystem Develop and connect retrieval pipelines, model services, agent frameworks, and supporting APIs Partner with application, platform, data, and security teams to ensure solutions meet