AI Engineering Expert for Generative Systems
7 days ago
You will play a critical role in developing novel solutions for FICO's platform, leveraging your expertise in AI and machine learning to build cutting-edge applications. This is an exceptional opportunity to drive innovation forward and make a meaningful impact on the company's decision automation, fraud investigation, and process flow automation capabilities.
About the Role:
FICO is seeking an experienced Staff AI Engineer to join our newly formed Generative AI team. As a key member of this team, you will be responsible for designing and implementing large language model (LLM) powered solutions that transform the way FICO makes decisions. Your work will focus on high-stakes applications, including decision automation, fraud investigation, and process flow automation.
Key Responsibilities:
* Develop sophisticated LLM-powered solutions for decision automation, fraud investigation, and process automation within FICO's platform.
* Design and implement cutting-edge architectures tailored to high-stakes applications.
* Apply advanced fine-tuning, in-context learning techniques, and custom evaluation frameworks to optimize AI model performance.
* Build robust model evaluation and governance systems, ensuring compliance and reliability across applications.
What We're Looking For:
The ideal candidate will have 5+ years of industry experience in software, ML or data engineering, with a history of managing complex, large-scale projects and driving strategic technical decisions. Proficiency in Python, Go, Java, or similar languages is required, along with experience with PyTorch, JAX, or similar deep learning frameworks. A solid foundation in machine learning evaluation and testing methodologies, including the development of custom evaluation frameworks, is also essential. Familiarity with backtesting methodologies, Large Language Models, and their applications to real-world problems is preferred. Strong skills in prompt engineering, chain-of-thought prompting techniques, and experience with Retrieval-Augmented Generation architectures are highly valued.
We Offer:
A competitive salary range of $161,000 - $253,000 per year, reflecting variations in candidate knowledge, skills, and experience.
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