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

We are a multinational technology and information-services business seeking a Machine Learning Engineer for a hybrid position based in Nashua, New Hampshire. This role focuses on turning advanced AI research into dependable product capabilities for a broad enterprise platform, with an emphasis on generative AI applications for research-heavy professional workflows.

Responsibilities

• 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.

Requirements

• 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.

Qualifications

• Background building products for legal, regulatory, publishing, knowledge-management, or similarly content-intensive environments (preferred).
• 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.

Benefits

• Opportunity to earn an annual performance bonus.
• Medical plan options.
• Dental coverage.
• Vision coverage.
• Paid vacation and other time-off programs.
• 401(k) retirement savings plan with employer contribution when applicable.

Schedule

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.