Senior Full Stack Software Engineer
AI in this role
Job Description – Senior Full Stack Software Engineer
Location: San Francisco (on-site at our offices)
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
How we score this
Senior Full Stack Software Engineer at Artificial Analysis scores 62 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.
AI Level 3. The daily work is on or around AI systems, without necessarily building the model: remove AI and the job is hollow.
- AI Level 480 to 100
- AI Level 360 to 79
- AI Level 240 to 59
- AI Level 10 to 39
Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- What's a project where you used OpenAI hands-on?
- Walk me through how you've used Anthropic in your day-to-day work.
- What are the limits of Hugging Face that you've run into, and how did you work around them?
- What's a project where you used PyTorch hands-on?
- Describe a typical day in a role like this one: which parts run through AI directly?
Adapt your resume
- List these exact terms on your resume: OpenAI, Anthropic, Hugging Face, and PyTorch. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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