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

What You Will Be Doing

Daily Responsibilities

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.