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

- **Company:** Kelly Services Inc.
- **Location:** Boston, MA, United States
- **Experience:** Expert
- **Salary:** $166,400.0 - $187,200.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Python (Programming Language), Knowledge Management, Machine Learning, Software Engineering, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Kubernetes, Information Technology, Machine Learning Operations, Automation Anywhere
- **Published:** August 6, 2026
- **Apply:** https://www.bostonjobsite.com/job.asp?id=3342459682&tx=DT11202UHT&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

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

## Description

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.


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