About Nexusflow.ai

Modern enterprise copilots & agents call for last-mile quality, enterprise-grade robustness and scalable operation costs, beyond simplified programming interfaces for generative AI. Nexusflow tackles this challenge, enabling enterprises to own their workflow copilots & agents stacked on top of powerful yet cost-effective, compact LLMs. We train large language models and build last-mile quality dev tooling for copilots & agents on your enterprise workflows. Our team has built the open-source LLM, NexusRaven-V2, rivaling GPT-4 in function calling with a 100X smaller model size. Our team members are also behind the scenes of Starling, the #1 ranked compact 7B chat model based on human evaluation in Chatbot Arena.

 

Position: Full-Stack Engineer

Nexusflow is currently adding Full-Stack Engineers to our team. Our full-stack engineers are responsible for packaging up our technology in models and last-mile quality toolings as systems. Our full-stack engineers will be the driving force building our products and solutions in extensive collaboration with our ML engineers, designers & our customers.

 

Responsibilities

  • Full-stack development in dev tooling and applications for GenAI copilots & agents

  • Spearheading the development and maintenance of high-quality web front-end using React.js

  • Contributing to the backend API system for cloud or on-prem deployment

  • Staying updated on emerging technologies and best practices in web development

  • Wearing many hats and collaborating with Nexusflow.ai’s full team for product development, deployment and customer success

 

Qualifications

Required

  • 3+ years experience in full-stack web development

  • Frontend

    • Proficient in developing web applications using React.js, Next.js, TypeScript, and Tailwind CSS.

    • Experience with Next.js for server-side rendering and routing.

    • Strong understanding of HTML, CSS, and JavaScript.

    • Knowledge of state management libraries like Redux.

  • Backend

    • Experience with backend API system development & deployment on cloud (e.g. AWS).

  • Passion for application & platform systems involving ML models, data pipeline and applications.

Preferred

  • Work experience in fast-pace teams.

  • Experience in building ML applications or ML platforms.

  • Experience in projects involving LLMs.