As a Senior Associate AI Engineer at Partners Capital, you will bridge the gap between high-level research and practical software engineering. This role is designed for a builder who can take full ownership of the AI lifecycle, from cleaning messy unstructured data to deploying sophisticated Retrieval-Augmented Generation (RAG) pipelines and production-ready APIs. You will be tasked with moving beyond simple 'wrapper' development to create intelligent, agentic systems that can coordinate complex tasks like research, drafting, and automated review. Day-to-day, you will be refining chunking strategies, managing vector databases, and implementing rigorous evaluation frameworks to ensure that AI outputs are not just impressive, but safe, accurate, and reliable for a high-stakes financial environment. You will join an innovative team that values a skeptical, engineering-first approach to artificial intelligence. Partners Capital provides a unique environment where you can apply cutting-edge LLM tooling—such as Cursor, Windsurf, and various agentic frameworks—to real-world investment and data challenges. The culture emphasizes 'human-in-the-loop' correctness, meaning you will be expected to use your coding expertise to audit AI-generated code and maintain high standards for security and maintainability. This is an opportunity to work at the intersection of finance and frontier technology, helping a leading global investment office redefine its digital capabilities. This position offers significant growth potential as the firm continues to expand its AI footprint. You will have the autonomy to experiment with open-source models like Llama and Mistral, fine-tuning them for specific use cases and managing the associated training and inference pipelines. By owning the evaluation metrics and production monitoring, you will become a key architect of the firm’s long-term AI strategy. For an engineer who thrives on solving the 'hallucination' problem and building robust, typed backend services, this role provides the platform to lead high-impact projects that directly influence the firm's operational efficiency and investment intelligence.