Member of Technical Staff, Machine Learning
RunwayFull Time
Senior (5 to 8 years)
Candidates should have extensive experience in Machine Learning (ML) and Large Language Models (LLMs), with a proven track record of leading the development of AI-driven features. Expertise in prompt engineering, context management, and model evaluation is essential, along with experience in designing and implementing retrieval-augmented generation (RAG) techniques and agent-based frameworks. The role requires strong architectural review skills, the ability to mentor other engineers, and experience collaborating with cross-functional teams and clients.
The Staff Machine Learning Engineer will lead the development of next-generation AI-driven features using generative AI and LLMs, transforming the audit and advisory industry. Responsibilities include architecting systems that leverage LLMs and RAG, making key decisions on LLM integration, and building agent-based frameworks. They will also establish best practices for prompt engineering, context management, and model evaluation, acting as the go-to expert for generative AI. Additionally, the role involves reviewing AI feature architectures, mentoring engineers, fostering a culture of ML excellence, and collaborating with stakeholders to translate business needs into technical solutions.
AI platform for audit and advisory services
Fieldguide enhances audit and advisory processes for businesses using artificial intelligence through its main product, the AI Advisory & Audit Cloud. This platform is designed for large advisory and audit firms, helping them save time, improve profit margins, and increase client satisfaction while managing various regulatory frameworks. Fieldguide's subscription-based model offers features like engagement management and automated report generation, making it more efficient than traditional methods. The company's goal is to transform the audit and advisory landscape with a modern, AI-driven experience.