Full-Stack Engineer
Listed on 2026-09-23
-
Software Development
Full Stack Developer, AI Engineer (Applied/Software)
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, Nexus Raven-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.
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.
ResponsibilitiesFull-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
3+ years experience in full-stack web development
Frontend
Proficient in developing web applications using React.js, Next.js, Type Script, 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.
Work experience in fast-pace teams.
Experience in building ML applications or ML platforms.
Experience in projects involving LLMs.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).