Artificial Analysis, Inc. Logo

Artificial Analysis, Inc.

Senior Full Stack Software Engineer

Posted 2 Months Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
Senior level
In-Office
San Francisco, CA, USA
Senior level
Lead full-stack development of the Artificial Analysis website using a TypeScript/Next.js stack. Build UI and data visualizations, maintain PostgreSQL databases on Supabase, improve DevOps/CI/CD, mentor a small engineering team, and leverage LLMs and AI tools to accelerate development.
The summary above was generated by AI

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

Similar Jobs

6 Days Ago
Hybrid
Mountain View, CA, USA
143K-243K Annually
Senior level
143K-243K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Design and implement AI-powered agent builder features and scalable web applications for the Moveworks Agentic Assistant ecosystem. Build web technology stacks including authentication, event tracking, application platforms, design systems, and backend APIs. Collaborate with product, machine learning, and engineering teams to improve user experiences, support global expansion, and drive customer adoption.
Top Skills: APIsGenerative AiMachine LearningReactWeb Ui Frameworks
19 Days Ago
Remote or Hybrid
United States
161K-172K Annually
Senior level
161K-172K Annually
Senior level
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Develop and deploy customer-focused web, mobile, and backend applications across the full software stack. Design major features, contribute to architecture decisions, conduct code reviews, and ensure secure, high-quality implementations. Collaborate with stakeholders and cross-functional teams using Agile and SDLC practices. Manage version control, CI/CD, environments, and releases; maintain automated test coverage and perform root-cause analysis. Build and optimize relational data solutions using SQL Server, including complex queries, stored procedures, and performance tuning.
Top Skills: .NetAgileC#Ci/CdGitJavaScriptJestNode.jsNunitReactSdlcSQL ServerTypescriptWeb Apis
21 Days Ago
Easy Apply
Hybrid
San Francisco, CA, USA
Easy Apply
156K-276K Annually
Senior level
156K-276K Annually
Senior level
Marketing Tech • Mobile • Software
Build and scale backend-focused, full-stack web applications for Braze’s Cloud Data Ingestion and Data Transformation platforms. Drive architectural decisions, technical strategy, and end-to-end feature delivery. Develop scalable systems handling high-volume data and traffic, including automated pipelines, asynchronous processing, and ETL applications. Collaborate within an agile team while delivering reliable front-end and backend experiences that improve customer data integration and platform growth.
Top Skills: AirflowAmazon SqsDistributed SystemsDjangoETLKafkaMicroservicesPythonRabbitMQReactRuby On RailsSidekiqSnowflake

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account