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 Primary Activities How You Will Contribute 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. Posted By: Nick Ramler