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As a Staff Machine Learning Engineer at Fieldguide, you will lead the development of next-generation AI-driven features on our platform, transforming the audit and advisory industry through cutting-edge generative AI solutions. You’ll focus on applying advanced Machine Learning (ML) and Large Language Models (LLMs) to solve complex problems for our customers, while guiding the technical direction of our ML team in a high-growth startup environment. This role is both strategic and hands-on – you will set best practices for our generative AI efforts and also dive into coding and architecture as needed to drive critical projects from concept to production. In this role, you will be the go-to expert for generative AI at Fieldguide. You’ll establish standards for prompt engineering, context management, and model evaluation, ensuring our use of LLMs is effective, safe, and scalable. As a Staff MLE, you will also act as a multiplier for the entire engineering team: reviewing architectures for AI features, mentoring other engineers, and fostering a culture of excellence in ML. You’ll collaborate closely with cross-functional stakeholders – from product managers and designers to even high-profile clients – to translate business needs into technical solutions and to communicate how our AI-driven approach creates value. This is a unique opportunity to shape the future of Fieldguide’s AI capabilities and establish yourself as a technical leader in the burgeoning field of generative AI.