Senior Full Stack Software Engineer

Job Description - Senior Full Stack Software Engineer

Location: San Francisco, CA (on-site, 5 days a week, in our San Francisco office)

About Artificial Analysis

Artificial Analysis is the leading independent AI benchmarking company. We support labs, engineers and enterprises to understand AI capabilities and make critical decisions about their AI strategies. We are the go-to authority for understanding AI, from AI labs and enterprises to media, investors, and policymakers. Our benchmarks don’t just measure the cutting edge of AI, they are actively shaping the frontier.

Our benchmarks and analysis are trusted by hundreds of thousands of users and are the go-to reference for leading AI labs including OpenAI, Google, Meta, NVIDIA and Anthropic, and major publications including the Wall Street Journal, Bloomberg, the Financial Times and The Economist.

We are a team of 40+, on track to double by end of year, backed by Nat Friedman (GitHub, Meta), Daniel Gross (SSI, Meta), Andrew Ng (Google Brain, DeepLearning.ai, Amazon), Adam D’Angelo (Quora, Poe, OpenAI), Clem Delangue (Hugging Face) and other industry leaders.

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

Why Artificial Analysis?

• Shape how AI gets built: The leading AI labs track our benchmarks and use them to guide their development priorities. Your work will directly influence the direction of AI.
• Become a world expert in AI: You will evaluate every major model, across every major capability, as they are released. Very few roles offer this breadth of exposure to frontier AI.
• Work with the most important players in AI: You’ll manage relationships with teams at the leading AI labs and major enterprises as a trusted, independent voice.
• Join at a defining moment: We’re 40+ people, on track to double by end of year, backed by some of the most connected investors in AI. The people who join now will shape the product, the team, and the strategy as we scale.
• Competitive compensation including equity