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 Requirements
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
Key Responsibilities
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 requirements for performance, resilience, privacy, and scale
Compensation and Benefits
Eligible for a performance-based bonus program
Employees receive access to:
Comprehensive medical insurance
Dental insurance
Vision insurance
Paid time off and company leave programs
401(k) retirement plan, including an employer match where applicable
This position follows a hybrid schedule based in Worcester, Massachusetts.

Candidates must be authorized to work full-time in the United States both now and in the future.