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

Job Description A global provider of data-driven technology solutions is seeking a Senior Machine Learning Engineer to join its Boston-area team in a hybrid capacity. This engineer will guide the design of scalable artificial intelligence platforms and advanced agent-based systems used across a broad suite of enterprise products. The position centers on developing modern AI capabilities for a complex professional-information environment. Key initiatives include intelligent research tools, retrieval-augmented generation systems, large language model applications, and production-ready autonomous workflows. You will also help set architectural direction, define engineering best practices, and improve the reliability and security of the broader AI ecosystem. Core Qualifications Deep knowledge of machine learning systems and autonomous agent design Hands-on experience creating LLM applications and retrieval-augmented generation solutions Practical experience working with vector search technologies and vector data stores Familiarity with production ML operations, monitoring, and deployment practices Strong Python development skills Working knowledge of AWS infrastructure and Kubernetes environments Preferred Background Experience delivering software for legal technology, compliance, financial services, or another regulated domain At least 12 years of software engineering experience, or 8 or more years combined with a PhD Bachelor’s degree or higher in computer science, engineering, data science, or a related discipline Key Responsibilities Day-to-Day Work This is a highly hands-on engineering position Create, productionize, and maintain sophisticated AI and ML capabilities for enterprise research applications Architect and enhance distributed machine learning services and scalable platform components Build agentic applications, semantic retrieval pipelines, and supporting orchestration frameworks Partner with software, platform, and security teams to deliver dependable, secure, and high-performing AI systems Compensation Eligible for a performance-based bonus Benefits Include Comprehensive medical coverage Dental insurance Vision insurance Paid vacation and personal time 401(k) retirement plan with employer match, where offered This position follows a hybrid schedule in Boston, Massachusetts. Candidates must be authorized to work full-time in the United States both now and in the future. Posted By: Nick Ramler