Full-Stack Software Engineer

🚀 Join Nolana's team as a Full-Stack Software Engineer 📍 Location: London (Hybrid)🕒 Job Type: Full-time👤 Reports To: Founder🌟 Experience Level: Mid-Level with AI/ML experience Are you passionate about advancing AI and machine learning? 🤖 Do you want to help shape the future of large language models? 🌍 We're seeking a Software Engineer to lead the development of full-stack platform and LLM infrastructure from the ground up. We are an early-stage startup building an AI-powered enterprise platform 🚀. Our founding team comes from senior product and engineering positions at leading tech companies with a goal of making large organisations more efficient 🏆. 🔧 What You'll Do:Full-Stack Development: Lead the design, development, and maintenance of both front-end and back-end technologies to ensure a user-friendly platform.Model Integration: Integrate the LLM model with the entire pipeline, facilitating seamless communication between modules.LLM Deployment: Deploy large language models optimised for both on-device and cloud-based platforms.Data Infrastructure: Build and manage data pipelines, leveraging insights to continuously improve AI models and learning outcomes.Database Management: Ensure that essential information is securely and efficiently stored in and retrieved from databases.Collaboration: Partner with leading researchers, data scientists, and engineers to push the boundaries of AI.Stay Informed: Continuously monitor and apply the latest advancements in AI research. 🎯 What You Bring:Experience in full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operationsProficiency in front-end development using React and Next.jsA passion for AI innovation, creativity, and problem-solvingExperience contributing to the architecture and design (architecture, design patterns, reliability and scaling)Bachelor's degree in computer science or equivalent work experience 💡 Bonus Points:Experience in a high-growth startup environmentKnowledge of Python frameworks such as Django, Flask, or FastAPIExperience with Rust and machine learning libraries like PyO3 and CandleUnderstanding of Generative AI, MLOps, CI/CD or cloud platforms (AWS/GCP/Azure)Experience with container orchestration tools such as Docker and KubernetesSkilled in managing large databases like MongoDB and PostgreSQL 🎉 Why Join Us?🏆 Work on innovative AI technology that will redefine enterprise-grade LLMs🤝 Thrive in a collaborative culture focused on learning, growth, and innovation💼 Enjoy a competitive compensation package and benefits🖥️ Access cutting-edge resources and infrastructure💡 Join a founding team from top-tier tech companies like Amazon, Google, Samsung, and AMD 🎯 Ready to build the future of AI with us? Apply and be part of our journey to create the next generation of organisational efficiency software!