Job Description - Senior Full Stack Software Engineer
Location: San Francisco (on-site at our offices)
The Opportunity
We're looking for a Senior Full Stack Software Engineer to join our team and lead full stack development projects focusing on our website, artificialanalysis.ai. You'll work closely with our founders to build core parts of the software stack for our fast-growing startup.
The coming wave of AI scaling is going to change the world in ways we don't yet understand - and we're offering a front row seat.
What You'll Do
• Lead full-stack development and optimization of the Artificial Analysis website
• Work with our Typescript / Next.js stack (hosted on Vercel) to build and maintain website features, including using our PostgreSQL databases on Supabase
• Design and implement user interfaces and data visualizations that distill complex AI benchmarking data into intuitive, interactive experiences for many thousands of daily users
• Push forward our engineering practice more broadly, incorporating industry best practices into our DevOps, infrastructure management and CI/CD
• Mentor and manage a small team of developers to drive a culture of engineering excellence
• Embrace an AI-native workflow, using cutting-edge AI tools to generate leverage in a fast-changing industry
What We're Looking For
• 3+ years of professional software engineering experience, with a strong focus on modern front-end web development (Javascript/Typescript, React, Next.js, Node.js)
• Knowledge of modern AI and experience using LLMs
• Passion for AI and eagerness to work at the forefront of technological innovation
• The ability to balance writing maintainable code and making sound architectural decisions with the need to ship features quickly
• Strong problem-solving skills and ability to distill complex concepts into actionable insights in the face of uncertainty
• Excellent communication and collaboration skills
• Proven ability to lead projects independently in a fast-paced environment
Preferred but not essential:
• Bachelor's or Master's in Computer Science, Engineering, or related field (e.g. Physics)
• Experience with Python libraries for data analysis (e.g. pandas) and AI/ML frameworks (e.g. PyTorch)
• Experience visualizing and presenting data
• Creation of analytical reports
