Long Ridge Partners

Job Description AI / Forward Deployed Engineer Requires 4+ years of full-time professional experience after completing a degree. Candidates must have existing US work authorization. H1B transfers and TN status are accepted. No new visa sponsorship, OPT, or CPT. We are an executive search firm focused primarily on technology hiring across the buy side, working with some of the most prominent hedge funds and investment firms in the market. We've had significant success placing high-caliber technology talent with our clients and are continuing to build out our pipeline as new searches come online. AI has quickly become one of our most active areas of sear ch. We are currently working on several AI / Forward Deployed Engineering searches with leading investment firms and have already started interviewing top candidates for these opportunities. We're looking for highly qualified engineers with strong software engineering fundamentals and hands-on AI experience who can work directly with investment, research, and business teams to build practical solutions. What you'll be doing Work directly with investment, research, and other business teams to understand their workflows and identify where AI can add value. Build and deploy AI-powered applications, internal tools, and workflows. Work with LLMs, APIs, proprietary data, and third-party data sources. Build solutions around research automation, information retrieval, document analysis, data extraction, and other internal workflows. Take projects from an initial idea through prototype and into production. Work closely with users, gather feedback, and continuously improve what you build. Partner with engineering and infrastructure teams around deployment, security, scalability, and reliability. What we're looking for Strong software engineering background, ideally with Python as a primary language. Hands-on experience building with LLMs / Generative AI. Experience working with APIs, databases, data, and cloud environments. Understanding of areas such as RAG, agents, embeddings, prompt engineering, or LLM evaluation. Strong problem-solving skills and the ability to work with limited direction. Comfortable working directly with senior users and translating business problems into technical solutions. Strong academic background in Computer Science, Engineering, Mathematics, or a related field. Financial markets experience is a plus