LLM Fullstack Developer

Do you enjoy nerding out about the latest React / Next.js feature updates over dinner, have long awaited to use your Python skills for something useful like AI generated music and all you need is a great team to show off your latest prototype then we’re excited to meet you.What we’re looking forDeveloping LLM Applications: You have hands-on experience or a keen interest in developing applications using Large Language Models through Langchain.js or similar frameworks. You're familiar with the challenges of integrating LLMs into practical applications, from conceptualization to deployment, and are excited about exploring the frontiers of generative AI.Leadership is in your DNA: You can inspire and guide a team.Proven Experience with React, TypeScript, and Tailwind: You've mastered these technologies and are looking for an opportunity to apply your skills in new and challenging ways.Eagerness to Learn and Adapt: We value your willingness to learn and grow with emerging technologies. Whether it is developing early stage prototypes in visionOS or custom WebGL shaders. We continuously experiment and test new frameworks and tech stacks.Pragmatism: At the heart of your role is pragmatism - the ability to adapt to various coding environments and requirements. You understand that the best solution is often one that balances innovation with practicality.Experience with Large Datasets: You're comfortable navigating and extracting insights from massive datasets. Your proficiency in data engineering and analysis allows you to efficiently manage and utilize data on a large scale, ensuring optimal performance and insightful outcomes.Node.js: You’re ok with writing some server side code as long as its in JavascriptPython: Your able to leverage Python to work with low level LLM toolkits, using it for data analysis and prototypingYou appreciate good design and can bring it to life, developing new interaction and user interface concepts for our projectsAWS / Azure: You’re not afraid of opening up the AWS console, setting up a server and triggering deployments or setting up an LLM application inside Azure infrastructure.Bonus Points: You have experience with Redis and the PGVector extension as well as SupabaseWhat we offerResidence: Be part of a global network including companies such as Buck, It’s Nice That and VTPro (www.residence.co) with offices in London, LA, New York, Sidney and ViennaGlobal Collaboration: Work with an international team that values diverse perspectives.Cutting-Edge Projects: Dive into projects at the forefront of AI, machine learning, and generative AI applications.Personal Growth: A chance to improve your skills in a rapidly evolving field.Remote Flexibility: Work from anywhereAn Amazing Team: Be surrounded by people who share your enthusiasm for tech and are among the best in their fields.

Key Skills

• AWS
• Node.js
• Python
• React
• TypeScript
• Full Stack
• JavaScript