🚀 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 operations.
• Proficiency in front-end development using React and Next.js.
• A passion for AI innovation, creativity, and problem-solving.
• Experience 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 environment.
• Knowledge of Python frameworks such as Django, Flask, or FastAPI.
• Experience with Rust and machine learning libraries like PyO3 and Candle.
• Understanding of Generative AI, MLOps, CI/CD or cloud platforms (AWS/GCP/Azure).
• Experience with container orchestration tools such as Docker and Kubernetes.
• Skilled 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!