Senior Machine Learning Engineer - Nashua, Nh - Rag/LLM/Ai

Position Overview

A multinational technology and information-services business is seeking a Machine Learning Engineer for a hybrid position based in Nashua, New Hampshire. The engineer will help turn advanced AI research into dependable product capabilities that can serve users across a broad enterprise platform.

This role is centered on generative AI applications for research-heavy professional workflows. You will create and improve large language model services, semantic retrieval components, and coordinated agent systems while contributing to the technical foundations that support deployment, scale, observability, and responsible use.

What You Bring

Significant experience developing and productionizing machine learning solutions

Hands-on expertise with large language models, autonomous agents, and multi-step AI workflows

Strong command of retrieval-augmented generation, embeddings, vector indexing, and semantic search

Understanding of model release processes, experiment tracking, monitoring, and other MLOps practices

Professional Python engineering experience

Experience operating distributed workloads in AWS and Kubernetes

Additional Qualifications

Background building products for legal, regulatory, publishing, knowledge-management, or similarly content-intensive environments

12+ years in software development, or 8+ years of development experience combined with a doctoral degree

Degree in computer science, artificial intelligence, engineering, or a related technical discipline

How You Will Contribute

Primary Activities

A deeply hands-on individual contributor role

Engineer AI-driven product features that help professional users search, synthesize, and act on complex information

Develop resilient services and platform patterns for large-scale, distributed machine learning workloads

Create orchestration layers that connect LLMs, retrieval services, tools, and agent-based processes

Work alongside product engineering, data, infrastructure, and cybersecurity teams to meet enterprise standards for speed, availability, and protection

Compensation & Benefits

Opportunity to earn an annual performance bonus

The benefits package includes

Medical plan options

Dental coverage

Vision coverage

Paid vacation and other time-off programs

401(k) retirement savings plan with employer contribution when applicable

This role follows a hybrid work schedule in Nashua, New Hampshire.

Applicants must be authorized to work in the United States on a full-time basis now and in the future.