Julius is growing quickly and reaching millions of knowledge workers. We are looking for a backend engineer to join our small and deeply technical team to help revolutionize AI powered code execution and data analysis.
You will be responsible for leading design, implementation, and scaling of systems
that power web and mobile products.
What you’ll do:
Build products that bring AI capabilities to millions of knowledge workers
Build and scale backend systems that power the core Julius product.
Building interfaces between backend and web/mobile clients.
Work on scaling and load balancing web server backends with rapidly changing needs.
What we’re looking for:
Strong experience with Python or equivalent backend programming language
Strong experience with databases / pooling / concurrency.
Experience with cloud platforms (AWS, GCP or Azure).
Familiarity with infrastructure, kubernetes and terraform (or willingness to learn).
Extensible system design skills.
2+ years of engineering experience.
Bonus points: Experience or familiarity with R (the programming language)
Bonus points: You’ve built an AI side project before and like prompting and playing with LLMs
About Julius
Location: San Francisco, CA 🌁
Type: Full Time
Compensation: Competitive base salary and meaningful equity
Benefits: Health & dental insurance, gym reimbursement, daily team lunches
We are an early stage applied AI lab building coding agents. We’re on a mission to enable one billion humans to become software creators, and we are starting with a focus on data science and analysis use cases. Our users and customers are knowledge workers in roles like finance, operations, scientific research and academia.
Today, Julius writes and executes 1 million lines of code every 36 hours, has served over 1 million users and generated over 3 million data visualizations.
We're a small technical team with experience from Uber, Microsoft and Facebook.
We're making revenue and we're backed by some of best investors like AI Grant, and founders of Vercel, Notion, Perplexity, Palantir, Replit, Zapier, Intercom, Dropbox and researchers from OpenAI and Google DeepMind.
Top Skills
What We Do
Your AI Data Scientist: Easily analyze, visualize and transform data
