Applied AI Engineer

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Requirements:

• A proven track record of implementing generative AI solutions in production environments.
• Proficiency in tools and models such as OpenAI, Anthropic, Hugging Face, and human-in-the-loop platforms like Humanloop.
• Experience with full-stack development, particularly with Python, React, and GCP.
• 5+ years of industry experience in engineering with a strong focus on AI, particularly LLMs and related technologies.
• Strong problem-solving skills and excellent communication abilities.
• Strong ability to collaborate with product managers, founders, and the operational team to build and iterate on product-focused AI solutions.

Responsibilities:

• Lead the end-to-end development and deployment of AI systems for mortgage servicing products and workflows, including document classification, call center insights, and servicing specific agentic AI.
• Identify new opportunities to apply generative AI to enhance operational efficiency across the entire business.
• Oversee the architecture, training, and serving of open-source deep learning models using state-of-the-art infrastructure.
• Conduct applied product research to evaluate and integrate the latest LLM models and techniques into production systems.
• Ensure AI solutions adhere to regulatory standards.
• Mentor and guide team members, fostering an environment of continuous learning and innovation.