Unclassified - Palo Alto, CA
posted 3 months ago
Nexusflow.ai is at the forefront of developing modern enterprise copilots and agents, focusing on last-mile quality, enterprise-grade robustness, and scalable operational costs. Our mission is to empower enterprises to take ownership of their workflow copilots and agents stack, leveraging powerful yet cost-effective compact large language models (LLMs). We specialize in training large language models and creating high-quality development tooling for copilots and agents tailored to specific workflows. Our team has successfully developed the open-source LLM, NexusRaven, which rivals GPT-4 in function calling while being 100 times smaller in model size. Additionally, our team members have contributed to Starling, the top-ranked compact 7B chat model based on human evaluation in the Chatbot Arena. As an Applied Machine Learning Engineer at Nexusflow, you will play a crucial role in powering our LLMs and enhancing our methodologies for achieving last-mile quality tooling for copilots and agents. Your responsibilities will include developing LLMs specifically designed to support copilots and agents tailored for enterprise workflows. You will also be tasked with creating tooling that ensures last-mile quality and robustness for copilot and agent applications, particularly in scenarios where there is a low volume of manually curated data. Furthermore, you will be involved in building application solutions for high-value customer verticals, collaborating closely with the entire team to drive product development, deployment, and customer success.