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

About the role

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.

Responsibilities

• 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

Requirements

• 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
• Bachelor’s degree or higher in computer science, engineering, data science, or a related discipline

Qualifications

• At least 12 years of software engineering experience, or 8 or more years combined with a PhD
• Experience delivering software for legal technology, compliance, financial services, or another regulated domain (preferred)

Benefits

• Comprehensive medical coverage
• Dental insurance
• Vision insurance
• Paid vacation and personal time
• 401(k) retirement plan with employer match, where offered

Eligible for a performance-based bonus.

Schedule

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.